Triple
T513386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Auerbach |
E10653
|
entity |
| Predicate | NBAChampionshipSeasonsAsHeadCoach |
P7572
|
FINISHED |
| Object | 1956–57 |
—
|
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: 1956–57 | Statement: [Red Auerbach, NBAChampionshipSeasonsAsHeadCoach, 1956–57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAChampionshipSeasonsAsHeadCoach Context triple: [Red Auerbach, NBAChampionshipSeasonsAsHeadCoach, 1956–57]
-
A.
NBAChampionshipSeason
Indicates that a particular NBA season is one in which the specified team won the league championship.
-
B.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
C.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
D.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
wonNBAchampionshipWith
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.