Triple
T1181781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Coughlin |
E25152
|
entity |
| Predicate | startTimeInExecutiveRoleAtJacksonvilleJaguars |
P24971
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Tom Coughlin, startTimeInExecutiveRoleAtJacksonvilleJaguars, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeInExecutiveRoleAtJacksonvilleJaguars Context triple: [Tom Coughlin, startTimeInExecutiveRoleAtJacksonvilleJaguars, 2017]
-
A.
startTimeAsNFLReferee
Indicates the point in time when an individual began serving in the role of an NFL referee.
-
B.
startTimeAsDefensiveCoordinatorForSeattleSeahawks
Indicates the date and time when an individual began serving as the defensive coordinator for the Seattle Seahawks.
-
C.
startTimeAsDefensiveCoordinatorForDallasCowboys
Indicates the date and time when an individual began serving as the defensive coordinator for the Dallas Cowboys.
-
D.
startTimeOfNFLOfficiatingCareer
Indicates the point in time when an individual's NFL officiating career began.
-
E.
hostCitySuperBowlNumberForJacksonville
Indicates the specific Super Bowl number for which Jacksonville served as the host city.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd347d4481909e9094463011289d |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.