Triple

T22462940
Position Surface form Disambiguated ID Type / Status
Subject Bibendum E555274 entity
Predicate alsoKnownAs P39 FINISHED
Object L’Homme Michelin 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: L’Homme Michelin | Statement: [Bibendum, alsoKnownAs, L’Homme Michelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Homme Michelin
Context triple: [Bibendum, alsoKnownAs, L’Homme Michelin]
  • A. Le Bonhomme Michelin chosen
    Le Bonhomme Michelin, better known internationally as Bibendum or the Michelin Man, is the iconic white tire-shaped mascot of the Michelin tire company.
  • B. Les Carroz-d’Arâches
    Les Carroz-d’Arâches is a French Alpine village and ski resort in the Haute-Savoie department, known for its access to the Grand Massif ski area.
  • C. Coupe de Ville
    Coupe de Ville is a 1990 American coming-of-age comedy-drama film about three estranged brothers who reconnect during a cross-country road trip in the 1960s.
  • D. Monsieur Bordeaux–Paris
    Monsieur Bordeaux–Paris is the nickname of Belgian cyclist Herman Van Springel, famed for his repeated successes in the long-distance Bordeaux–Paris road race.
  • E. Renault Vel Satis
    The Renault Vel Satis is a large, unconventional French executive hatchback produced in the early 2000s, known for its distinctive styling and emphasis on comfort and technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b80983081908084947b2e31c9d4 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.