Triple
T194672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Belichick |
E3792
|
entity |
| Predicate | numberOfSuperBowlsWonAsAssistantCoach |
P7112
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Bill Belichick, numberOfSuperBowlsWonAsAssistantCoach, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuperBowlsWonAsAssistantCoach Context triple: [Bill Belichick, numberOfSuperBowlsWonAsAssistantCoach, 2]
-
A.
superBowlWin
Indicates that a team has won a Super Bowl championship game.
-
B.
playedWithQuarterback
Indicates that one player participated on the same team at the same time as a specific quarterback, sharing game or practice play together.
-
C.
superBowlChampionWith
Indicates that one entity is the Super Bowl champion associated with the other entity (such as a specific season, year, or team).
-
D.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
-
E.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25969425081908e178db8ba4631c2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a2582b7f648190b0ef676b8bdc1c65 |
completed | Feb. 28, 2026, 2:51 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.