Triple
T26911925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Carr |
E677410
|
entity |
| Predicate | playedForFranchiseLocation |
P22309
|
FINISHED |
| Object | Oakland, California |
—
|
NE NERFINISHED |
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: Oakland, California | Statement: [Derek Carr, playedForFranchiseLocation, Oakland, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForFranchiseLocation Context triple: [Derek Carr, playedForFranchiseLocation, Oakland, California]
-
A.
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.
-
B.
playedForCity
chosen
Indicates that an entity (typically a person or team) has been a member of or represented a sports team or organization based in a particular city.
-
C.
alsoPlayedAt
Indicates that an entity participated or performed at an additional event, venue, or time beyond a primary one already referenced.
-
D.
formerlyPlayedIn
Indicates that an entity was previously a member of or participated in a particular team, group, or organization in the past but no longer does so.
-
E.
roleInFranchiseHistory
Indicates the specific function, position, or contribution an entity has within the historical development or timeline of a franchise.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 6:02 a.m.