Triple
T35774500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1946 NFL Championship |
E1034253
|
entity |
| Predicate | teamOfLosingCoach |
P21416
|
FINISHED |
| Object | New York Giants |
—
|
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: New York Giants | Statement: [1946 NFL Championship, teamOfLosingCoach, New York Giants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamOfLosingCoach Context triple: [1946 NFL Championship, teamOfLosingCoach, New York Giants]
-
A.
hasLosingTeamCoach
chosen
Indicates that a particular game, match, or competition is associated with the coach of the team that lost.
-
B.
teamOfWinningCoach
Indicates the team that is coached by the coach who won (e.g., a game, season, or championship).
-
C.
managerOfLosingTeam
Indicates that the subject is the manager of a team that lost a particular game, match, or competition.
-
D.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
E.
awayTeamHeadCoach
Indicates that the specified person serves as the head coach of the designated away team in a sporting event or competition.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.