Triple
T8404812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Aronoff |
E198467
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Department of Linguistics at Stony Brook University
The Department of Linguistics at Stony Brook University is a prominent academic unit known for its research and graduate training in theoretical and experimental linguistics.
|
E732569
|
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: Department of Linguistics at Stony Brook University | Statement: [Mark Aronoff, affiliation, Department of Linguistics at Stony Brook University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics at Stony Brook University Context triple: [Mark Aronoff, affiliation, Department of Linguistics at Stony Brook University]
-
A.
University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
-
B.
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.
-
C.
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.
-
D.
Department of Linguistics
The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
-
E.
Department of Linguistics
The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
- 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: Department of Linguistics at Stony Brook University Triple: [Mark Aronoff, affiliation, Department of Linguistics at Stony Brook University]
Generated description
The Department of Linguistics at Stony Brook University is a prominent academic unit known for its research and graduate training in theoretical and experimental linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics at Stony Brook University Target entity description: The Department of Linguistics at Stony Brook University is a prominent academic unit known for its research and graduate training in theoretical and experimental linguistics.
-
A.
University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
-
B.
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.
-
C.
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.
-
D.
Department of Linguistics
The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
-
E.
Department of Linguistics
The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83116bf48190894bd5d5465520ef |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02f8596c8190a61b6f1ffd5a609c |
completed | April 2, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_69ce077f25648190b9a95fb72f5b4f8c |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08e192088190ad8170b1bedd568d |
completed | April 2, 2026, 6:12 a.m. |
Created at: March 30, 2026, 6:05 p.m.