Triple
T11980827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Cunningham |
E285152
|
entity |
| Predicate | NBAChampionshipsAsCoach |
P15415
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Billy Cunningham, NBAChampionshipsAsCoach, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAChampionshipsAsCoach Context triple: [Billy Cunningham, NBAChampionshipsAsCoach, 1]
-
A.
numberOfNBAChampionshipsAsHeadCoach
chosen
Indicates the count of NBA championship titles an individual has won while serving as a head coach.
-
B.
careerNBARegularSeasonWinsAsCoach
Indicates the total number of NBA regular season games a person has won in their role as a head coach.
-
C.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
D.
NBAteamCoached
Indicates that one entity is a coach who has coached the other entity, which is an NBA team.
-
E.
NBAHeadCoachingDebutTeam
Indicates the team for which a person made their debut as a head coach in the NBA.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.