Triple

T15842536
Position Surface form Disambiguated ID Type / Status
Subject Tyrrell Racing Organisation E384132 entity
Predicate notableDriver P2087 FINISHED
Object Jean Alesi E1180587 NE 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: Jean Alesi | Statement: [Tyrrell Racing Organisation, notableDriver, Jean Alesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Alesi
Context triple: [Tyrrell Racing Organisation, notableDriver, Jean Alesi]
  • A. Jean Alesi chosen
    Jean Alesi is a French former Formula One driver best known for his passionate driving style and long career in the sport during the 1990s.
  • B. Michele Alboreto
    Michele Alboreto was an Italian Formula One driver best known for his race-winning stints with teams such as Tyrrell and Ferrari during the 1980s.
  • C. Jason Alesi
    Jason Alesi is a musician best known for his past role in the American rap rock band Gym Class Heroes.
  • D. Eddie Irvine
    Eddie Irvine is a former Northern Irish Formula One driver best known for racing with teams like Jordan and Ferrari and finishing runner-up in the 1999 World Drivers' Championship.
  • E. Heinz-Harald Frentzen
    Heinz-Harald Frentzen is a German former Formula One racing driver best known for his successful stints with teams such as Williams and Jordan in the 1990s and early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59bc1f881908c5ed93039e94a46 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:50 a.m.