Triple
T31885892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkman Professor of Entrepreneurial Legal Studies |
E814006
|
entity |
| Predicate | chairHolderStart |
P172696
|
FINISHED |
| Object | 2007 |
—
|
LITERAL 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: 2007 | Statement: [Berkman Professor of Entrepreneurial Legal Studies, chairHolderStart, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairHolderStart Context triple: [Berkman Professor of Entrepreneurial Legal Studies, chairHolderStart, 2007]
-
A.
chairHolderField
Indicates that a field specifies or identifies the holder (person or entity) of a chair position.
-
B.
chairHolderStatus
Indicates the status or condition of an entity in relation to holding a specific chair or official position.
-
C.
chairpersonStart
Indicates the time or event at which a person begins serving as the chairperson of an organization or group.
-
D.
chairHeldBy
Indicates that a chair is currently being physically held or supported by a particular entity.
-
E.
namedChairAt
Indicates that a person holds a specific named chair or endowed professorship position at an institution.
- F. None of above. chosen
Provenance (4 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0db6b248190bf48c8088d41345d |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:57 p.m.