Triple
T591862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Knowledge Complexity of Interactive Proof Systems |
E17288
|
entity |
| Predicate | hasAuthorAffiliationAtTimeOfPublication |
P16016
|
FINISHED |
| Object | Massachusetts Institute of Technology |
E3
|
NE FINISHED |
How this triple was built (3 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: Massachusetts Institute of Technology | Statement: [The Knowledge Complexity of Interactive Proof Systems, hasAuthorAffiliationAtTimeOfPublication, Massachusetts Institute of Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massachusetts Institute of Technology Context triple: [The Knowledge Complexity of Interactive Proof Systems, hasAuthorAffiliationAtTimeOfPublication, Massachusetts Institute of Technology]
-
A.
Massachusetts Institute of Technology
chosen
The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
-
B.
Harvard John A. Paulson School of Engineering and Applied Sciences
The Harvard John A. Paulson School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, known for interdisciplinary research and education at the intersection of technology, science, and society.
-
C.
California Institute of Technology
The California Institute of Technology (Caltech) is a world-renowned private research university in Pasadena, California, especially known for its strength in science and engineering and its contributions to space exploration and technology.
-
D.
Worcester Polytechnic Institute
Worcester Polytechnic Institute is a private research university in Worcester, Massachusetts, known for its strong engineering, science, and technology programs and its project-based learning curriculum.
-
E.
Harvard University
Harvard University is a prestigious private Ivy League research university in Cambridge, Massachusetts, renowned for its academic excellence, influential alumni, and historic leadership in higher education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorAffiliationAtTimeOfPublication Context triple: [The Knowledge Complexity of Interactive Proof Systems, hasAuthorAffiliationAtTimeOfPublication, Massachusetts Institute of Technology]
-
A.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
B.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
C.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
-
D.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
E.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c38608948190b1fc28a2fec670ea |
completed | March 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.