Triple
T2431220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Big Red men's basketball |
E52849
|
entity |
| Predicate | notableCoachTenure |
P11639
|
FINISHED |
| Object | Steve Donahue 2000–2010 |
—
|
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: Steve Donahue 2000–2010 | Statement: [Cornell Big Red men's basketball, notableCoachTenure, Steve Donahue 2000–2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCoachTenure Context triple: [Cornell Big Red men's basketball, notableCoachTenure, Steve Donahue 2000–2010]
-
A.
headCoachTenure
chosen
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
B.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
C.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
-
D.
notablePlayersCoached
Indicates that a coach has trained or mentored specific players who are considered notable or distinguished in their field.
-
E.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.