Triple
T11293645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caltech’s Social and Information Sciences Laboratory |
E267392
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Social and Information Sciences Laboratory
The Social and Information Sciences Laboratory is a research center at the California Institute of Technology focused on the intersection of social science, economics, and information systems, often using experimental and computational methods to study human behavior and decision-making.
|
E917666
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Social and Information Sciences Laboratory | Statement: [Caltech’s Social and Information Sciences Laboratory, name, Social and Information Sciences Laboratory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Social and Information Sciences Laboratory Context triple: [Caltech’s Social and Information Sciences Laboratory, name, Social and Information Sciences Laboratory]
-
A.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
-
B.
USC Information Sciences Institute
USC Information Sciences Institute is a renowned research institute at the University of Southern California known for its pioneering work in computer science and its foundational contributions to the development of the internet.
-
C.
Center for the Study of Language and Information
The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
-
D.
Institute for Systems Research
The Institute for Systems Research is an interdisciplinary research center at the University of Maryland focused on advancing systems engineering, control, communications, and related technologies.
-
E.
Software and Content Research Laboratory
The Software and Content Research Laboratory is a research division focused on advancing software technologies and digital content within South Korea’s Electronics and Telecommunications Research Institute (ETRI).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Social and Information Sciences Laboratory Triple: [Caltech’s Social and Information Sciences Laboratory, name, Social and Information Sciences Laboratory]
Generated description
The Social and Information Sciences Laboratory is a research center at the California Institute of Technology focused on the intersection of social science, economics, and information systems, often using experimental and computational methods to study human behavior and decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Social and Information Sciences Laboratory Target entity description: The Social and Information Sciences Laboratory is a research center at the California Institute of Technology focused on the intersection of social science, economics, and information systems, often using experimental and computational methods to study human behavior and decision-making.
-
A.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
-
B.
USC Information Sciences Institute
USC Information Sciences Institute is a renowned research institute at the University of Southern California known for its pioneering work in computer science and its foundational contributions to the development of the internet.
-
C.
Center for the Study of Language and Information
The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
-
D.
Institute for Systems Research
The Institute for Systems Research is an interdisciplinary research center at the University of Maryland focused on advancing systems engineering, control, communications, and related technologies.
-
E.
Software and Content Research Laboratory
The Software and Content Research Laboratory is a research division focused on advancing software technologies and digital content within South Korea’s Electronics and Telecommunications Research Institute (ETRI).
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a246a3c81909f4f1d32a1b1efeb |
completed | April 19, 2026, 5 p.m. |
| NEDg | Description generation | batch_69e510f7bec08190989118b6e4a7fa49 |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516ac8dec81909c9c1eece372189e |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.