Triple
T2810990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean McVay |
E54168
|
entity |
| Predicate | roleAtFloridaTuskers |
P13665
|
FINISHED |
| Object | wide receivers coach |
—
|
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: wide receivers coach | Statement: [Sean McVay, roleAtFloridaTuskers, wide receivers coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtFloridaTuskers Context triple: [Sean McVay, roleAtFloridaTuskers, wide receivers coach]
-
A.
roleInFranchiseHistory
Indicates the specific function, position, or contribution an entity has within the historical development or timeline of a franchise.
-
B.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
C.
AFCTeam
Indicates a relationship where an entity is a team associated with, belonging to, or participating in the AFC (American Football Conference).
-
D.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
-
E.
AllStarTeam
Indicates that an entity has been selected for inclusion on an all-star team, recognizing it as one of the top performers within a league, season, or competition.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.