Triple
T35774499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1946 NFL Championship |
E1034253
|
entity |
| Predicate | teamOfWinningCoach |
P184097
|
FINISHED |
| Object | Chicago Bears |
—
|
NE NERFINISHED |
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: Chicago Bears | Statement: [1946 NFL Championship, teamOfWinningCoach, Chicago Bears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamOfWinningCoach Context triple: [1946 NFL Championship, teamOfWinningCoach, Chicago Bears]
-
A.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
coachesTeamFrom
Indicates that a person serves as the coach of a sports team that is based in or represents a particular location or organization.
-
D.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
E.
headCoachWinningTeam
Indicates that the subject is the head coach of the team that won a particular game, match, or competition.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.