Triple
T21389573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Meyer |
E527604
|
entity |
| Predicate | coachingLosses |
P39703
|
FINISHED |
| Object | 354 |
—
|
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: 354 | Statement: [Ray Meyer, coachingLosses, 354]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingLosses Context triple: [Ray Meyer, coachingLosses, 354]
-
A.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
-
B.
coachingRecordNFLRegularSeasonLosses
Indicates the number of games a coach has lost in NFL regular season play.
-
C.
hasLosingTeamCoach
Indicates that a particular game, match, or competition is associated with the coach of the team that lost.
-
D.
coachingRecordNFLPostseasonLosses
Indicates the number of postseason (playoff) games an NFL coach has lost in their coaching career.
-
E.
coachingRecordCollegeLosses
chosen
Indicates the number of games a coach’s college team has lost in their coaching record.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f8ae288190b43df9fe2841a822 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:13 p.m.