Triple
T7616072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian McCaffrey |
E172363
|
entity |
| Predicate | playsOffensivePosition |
P11751
|
FINISHED |
| Object | running back |
—
|
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: running back | Statement: [Christian McCaffrey, playsOffensivePosition, running back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsOffensivePosition Context triple: [Christian McCaffrey, playsOffensivePosition, running back]
-
A.
offensiveTackle
Indicates that an entity plays the offensive tackle position, responsible for blocking and protecting on the offensive line in a gridiron football context.
-
B.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
C.
offensiveCoordinator
Indicates that one entity serves as the offensive coordinator (the coach responsible for directing the offensive unit) for another entity, typically a sports team.
-
D.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
E.
startingWideReceiver
Indicates that the specified player is designated as a starting wide receiver for a team in a game or season.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.