Triple
T4628034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Bowles |
E101146
|
entity |
| Predicate | headCoachStartYearWithTeam |
P7574
|
FINISHED |
| Object | 2015 (New York Jets) |
—
|
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 (New York Jets) | Statement: [Todd Bowles, headCoachStartYearWithTeam, 2015 (New York Jets)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachStartYearWithTeam Context triple: [Todd Bowles, headCoachStartYearWithTeam, 2015 (New York Jets)]
-
A.
headCoachStartYear
Indicates the year in which an individual began serving as the head coach of a team or organization.
-
B.
hiredAsHeadCoachYear
chosen
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
-
C.
headCoachTenure
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
D.
teamCaptainStartYear
Indicates the year in which an entity first began serving as the captain of a team.
-
E.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.