Triple
T16318110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry McReynolds |
E396222
|
entity |
| Predicate | startTimeOfCrewChiefCareer |
P122670
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Larry McReynolds, startTimeOfCrewChiefCareer, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfCrewChiefCareer Context triple: [Larry McReynolds, startTimeOfCrewChiefCareer, 1980s]
-
A.
startTimeAsCaptain
Indicates the point in time when an entity first assumes the role or position of captain.
-
B.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
C.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
D.
startTimeAsNFLReferee
Indicates the point in time when an individual began serving in the role of an NFL referee.
-
E.
startTimeOfNFLOfficiatingCareer
Indicates the point in time when an individual's NFL officiating career began.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.