Triple
T3881555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hunt |
E92832
|
entity |
| Predicate | yearsActiveInFormulaOne |
P18004
|
FINISHED |
| Object | 1973–1979 |
—
|
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: 1973–1979 | Statement: [James Hunt, yearsActiveInFormulaOne, 1973–1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveInFormulaOne Context triple: [James Hunt, yearsActiveInFormulaOne, 1973–1979]
-
A.
hasMotorsportInvolvement
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
B.
activeYearsInCareer
chosen
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
C.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
-
D.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
-
E.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.