Triple
T16239431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesketh Racing |
E394201
|
entity |
| Predicate | firstFullSeasonInFormulaOne |
P120071
|
FINISHED |
| Object | 1974 Formula One season |
—
|
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: 1974 Formula One season | Statement: [Hesketh Racing, firstFullSeasonInFormulaOne, 1974 Formula One season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFullSeasonInFormulaOne Context triple: [Hesketh Racing, firstFullSeasonInFormulaOne, 1974 Formula One season]
-
A.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
-
B.
firstF1Season
chosen
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
C.
ageAtFirstFormulaOneWin
Indicates the age a person was when they achieved their first Formula One race victory.
-
D.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
E.
firstFerrariWorldTitleSeason
Indicates the season in which an entity (typically a driver or team) won their first world championship title with Ferrari.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455d5270819090171d4207223a28 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.