Triple
T36075195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Brazilian Grand Prix |
E1043477
|
entity |
| Predicate | debutTeamOfAyrtonSenna |
P128733
|
FINISHED |
| Object | Toleman-Hart |
—
|
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: Toleman-Hart | Statement: [1984 Brazilian Grand Prix, debutTeamOfAyrtonSenna, Toleman-Hart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutTeamOfAyrtonSenna Context triple: [1984 Brazilian Grand Prix, debutTeamOfAyrtonSenna, Toleman-Hart]
-
A.
madeF1DebutForTeam
chosen
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
B.
ayrtonSennaResult
Indicates the race result or finishing status associated with Ayrton Senna in a given event or competition.
-
C.
debutTeamForDriverInCup
Indicates the team for which a driver made their debut appearance in a Cup series.
-
D.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
-
E.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.