Triple
T7690513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donca Steriade |
E174231
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object | MIT Department of Linguistics and Philosophy |
E228287
|
NE FINISHED |
How this triple was built (2 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: MIT Department of Linguistics and Philosophy | Statement: [Donca Steriade, worksAt, MIT Department of Linguistics and Philosophy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Department of Linguistics and Philosophy Context triple: [Donca Steriade, worksAt, MIT Department of Linguistics and Philosophy]
-
A.
MIT Linguistics Section
chosen
The MIT Linguistics Section is the linguistics program at the Massachusetts Institute of Technology, renowned for its influential theoretical research and for training many leading figures in modern linguistics.
-
B.
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.
-
C.
Stanford University Department of Linguistics
The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
-
D.
Department of Theoretical and Applied Linguistics, University of Cambridge
The Department of Theoretical and Applied Linguistics at the University of Cambridge is a leading academic centre for research and teaching in linguistics, covering areas such as syntax, phonology, semantics, psycholinguistics, and language acquisition.
-
E.
University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702421dec8190a74f8ade992ca811 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a26686a08190acf66586f6c7592b |
completed | March 29, 2026, 3:54 a.m. |
Created at: March 27, 2026, 4:02 p.m.