Triple
T23066688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wooden |
E575060
|
entity |
| Predicate | coachingTenureStartAtUCLA |
P7106
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [John Wooden, coachingTenureStartAtUCLA, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingTenureStartAtUCLA Context triple: [John Wooden, coachingTenureStartAtUCLA, 1948]
-
A.
coachingTenureAtTempleEnd
Indicates the point in time or event when an individual's coaching tenure at Temple University concludes.
-
B.
tenureAsHeadCoachAtCaliforniaEnd
Indicates the date or point in time when an individual's tenure as head coach at California comes to an end.
-
C.
athleticDirectorTenureStart
Indicates the date or time when an individual begins serving as an athletic director for an organization or institution.
-
D.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
E.
headCoachStartYear
chosen
Indicates the year in which an individual began serving 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a4e2fc81909704333306737f80 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.