Triple

T15842746
Position Surface form Disambiguated ID Type / Status
Subject Ligier (historical) E384136 entity
Predicate hasFormerDriver P77000 FINISHED
Object Olivier Panis E986862 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: Olivier Panis | Statement: [Ligier (historical), hasFormerDriver, Olivier Panis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivier Panis
Context triple: [Ligier (historical), hasFormerDriver, Olivier Panis]
  • A. Olivier Panis chosen
    Olivier Panis is a French former Formula One racing driver best known for his surprise victory at the 1996 Monaco Grand Prix.
  • B. Jason Alesi
    Jason Alesi is a musician best known for his past role in the American rap rock band Gym Class Heroes.
  • C. Robert Arnoux
    Robert Arnoux was a French film and stage actor active in the early to mid-20th century, known for his character roles in numerous French productions.
  • D. Loris Martini
    Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
  • E. Henri Prost
    Henri Prost was a prominent French architect and urban planner best known for designing major city plans in France, Morocco, and Turkey in the early 20th century.
  • 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_69ffa13eab4881908794104508ba53af completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.