Triple
T7870838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Flores |
E182731
|
entity |
| Predicate | nflHeadCoachRegularSeasonRecord |
P14500
|
FINISHED |
| Object | 97–87 |
—
|
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: 97–87 | Statement: [Tom Flores, nflHeadCoachRegularSeasonRecord, 97–87]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflHeadCoachRegularSeasonRecord Context triple: [Tom Flores, nflHeadCoachRegularSeasonRecord, 97–87]
-
A.
overallNFLHeadCoachingRecordRegularSeason
chosen
Indicates the overall win-loss-tie record a coach has accumulated as an NFL head coach during regular-season games.
-
B.
NFLHeadCoachRecordIncludes
Indicates that a particular NFL head coach’s record includes a specified game, season, statistic, or outcome as part of their official coaching history.
-
C.
overallNFLHeadCoachingRecordPostseason
Indicates the win-loss-tie record a head coach has accumulated in NFL postseason (playoff) games.
-
D.
coachingRecordNFLWins
Indicates the number of NFL games a coach has won in their coaching career.
-
E.
coachingRecordNFLRegularSeasonLosses
Indicates the number of games a coach has lost in NFL regular season play.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:55 p.m.