Triple

T16420322
Position Surface form Disambiguated ID Type / Status
Subject DS Performance E398798 entity
Predicate associatedWith P37 FINISHED
Object Jean-Éric Vergne E674102 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-Éric Vergne | Statement: [DS Performance, associatedWith, Jean-Éric Vergne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Éric Vergne
Context triple: [DS Performance, associatedWith, Jean-Éric Vergne]
  • A. Jean-Éric Vergne chosen
    Jean-Éric Vergne is a French racing driver best known for competing in Formula One and becoming a multiple Formula E champion.
  • B. Simon Pagenaud
    Simon Pagenaud is a French professional racing driver best known for competing in the IndyCar Series, where he won the 2016 championship and the 2019 Indianapolis 500.
  • C. Pierre Gasly
    Pierre Gasly is a French Formula 1 racing driver known for his Grand Prix victory and strong performances with teams such as Scuderia AlphaTauri.
  • D. Nico Hülkenberg
    Nico Hülkenberg is a German racing driver known for his long Formula 1 career, including stints with multiple teams and holding the record for most F1 starts without a podium finish.
  • E. Romain Grosjean
    Romain Grosjean is a French-Swiss racing driver best known for his Formula 1 career with teams including Lotus and Haas, and later for competing in the IndyCar Series.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.