Triple
T2522154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Bakhtiari |
E55545
|
entity |
| Predicate | playsForPositionGroup |
P29748
|
FINISHED |
| Object | offensive line |
—
|
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: offensive line | Statement: [David Bakhtiari, playsForPositionGroup, offensive line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsForPositionGroup Context triple: [David Bakhtiari, playsForPositionGroup, offensive line]
-
A.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
B.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
C.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
D.
positionGroup
chosen
Indicates a grouping relationship where multiple positions or roles are collectively associated or organized under a common group.
-
E.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23895348190bb4dad6d7174893a |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.