Triple
T6537904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Grant |
E168210
|
entity |
| Predicate | NFLConferenceTitlesAsCoach |
P72268
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Bud Grant, NFLConferenceTitlesAsCoach, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFLConferenceTitlesAsCoach Context triple: [Bud Grant, NFLConferenceTitlesAsCoach, 4]
-
A.
totalNFLChampionshipsAsHeadCoach
Indicates the number of NFL championships an individual has won while serving as a head coach.
-
B.
SuperBowlTitlesAsHeadCoach
Indicates the number of Super Bowl titles an individual has won specifically in the role of head coach.
-
C.
NFLTeamCoached
Indicates that a person has served as a coach for a specific NFL team.
-
D.
numberOfSuperBowlsWonAsHeadCoach
Indicates the total count of Super Bowl championships an individual has won while serving in the role of head coach.
-
E.
coachingRecordNFLWins
Indicates the number of NFL games a coach has won in their coaching career.
- F. None of above. chosen
Provenance (4 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6ce0538f48190abf3160681901c17 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:49 p.m.