Triple
T10016911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Campbell |
E199517
|
entity |
| Predicate | startTimeAsInterimHeadCoachOfMiamiDolphins |
P57528
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Dan Campbell, startTimeAsInterimHeadCoachOfMiamiDolphins, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsInterimHeadCoachOfMiamiDolphins Context triple: [Dan Campbell, startTimeAsInterimHeadCoachOfMiamiDolphins, 2015]
-
A.
endTimeAsHeadCoachOfJacksonvilleJaguars
Indicates the date and time when an individual’s tenure as head coach of the Jacksonville Jaguars ended.
-
B.
servedAsInterimHeadCoachYear
chosen
Indicates that an entity held the position of interim head coach for another entity during a specified year.
-
C.
servedAsInterimHeadCoachForTeam
Indicates that a person temporarily held the position of head coach for a specific team for an interim period.
-
D.
beganNFLHeadCoachingCareerWith
Indicates that an individual's first position as an NFL head coach was with the specified team.
-
E.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4c17848190bf1a8017e755ba75 |
completed | April 2, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.