Triple
T2624705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Doctorate from Yale University |
E59088
|
entity |
| Predicate | notEntitleTo |
P27970
|
FINISHED |
| Object | automatic faculty position |
—
|
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: automatic faculty position | Statement: [Honorary Doctorate from Yale University, notEntitleTo, automatic faculty position]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notEntitleTo Context triple: [Honorary Doctorate from Yale University, notEntitleTo, automatic faculty position]
-
A.
notAccessibleBy
Indicates that one entity cannot be reached, used, or obtained through another specified entity or means.
-
B.
cannotGrant
chosen
Indicates that an entity lacks the authority, permission, or ability to confer a requested right, access, or resource to another entity.
-
C.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
-
D.
cannotReview
Indicates that an entity is not permitted or able to perform a review of another entity or item.
-
E.
cannotIntroduce
Indicates that one entity is not permitted or able to introduce another entity (such as a person, concept, or item) into a given context or to a third party.
- F. None of above.
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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.