Triple
T34412993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Marr |
E883322
|
entity |
| Predicate | sportsDisciplineCompetedIn |
P179726
|
FINISHED |
| Object | Formula One |
—
|
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: Formula One | Statement: [Leslie Marr, sportsDisciplineCompetedIn, Formula One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsDisciplineCompetedIn Context triple: [Leslie Marr, sportsDisciplineCompetedIn, Formula One]
-
A.
competedInDiscipline
Indicates that an entity took part in a competition or event within a specific discipline or category.
-
B.
inSportDiscipline
chosen
Indicates that an entity participates, competes, or is involved in a specific sport discipline or event.
-
C.
sportsInvolvement
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
D.
competitionInNotableEvent
Indicates that an entity participated as a competitor in a specific notable event or competition.
-
E.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:59 a.m.