Triple
T6493726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al McGuire |
E148102
|
entity |
| Predicate | tournamentTitleWonAsCoach |
P7572
|
FINISHED |
| Object | 1970 NIT championship with Marquette |
—
|
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: 1970 NIT championship with Marquette | Statement: [Al McGuire, tournamentTitleWonAsCoach, 1970 NIT championship with Marquette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentTitleWonAsCoach Context triple: [Al McGuire, tournamentTitleWonAsCoach, 1970 NIT championship with Marquette]
-
A.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
B.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
C.
notableAchievementAsCoach
Indicates that the subject has a significant or distinguished accomplishment specifically in their role as a coach.
-
D.
teamCoachedToTitle
Indicates that a coach led a team to win a championship or title.
-
E.
continentalTitleWonAsManager
Indicates that the person has won a continental-level competition title in the role of a manager.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab6abbc8190a4971ad5a654b0cd |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.