Triple

T22274343
Position Surface form Disambiguated ID Type / Status
Subject Le Viager E550561 entity
Predicate editedBy P1954 FINISHED
Object Pierre Gillette 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: Pierre Gillette | Statement: [Le Viager, editedBy, Pierre Gillette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Gillette
Context triple: [Le Viager, editedBy, Pierre Gillette]
  • A. Pierre Gillette chosen
    Pierre Gillette is an editor known for his work on the film "Le Soupirant."
  • B. Auguste‑Henri Lemaire
    Auguste‑Henri Lemaire was a 19th‑century French sculptor known for his work on prominent Parisian monuments.
  • C. Yves de Beaumont
    Yves de Beaumont was a medieval French nobleman associated with the influential Beaumont family.
  • D. Jean-Paul Guerlain
    Jean-Paul Guerlain is a renowned French perfumer and former master nose of the Guerlain house, known for creating several of its most iconic fragrances.
  • E. Louis Lemaire
    Louis Lemaire is a relatively obscure individual known primarily for sharing the Lemaire surname rather than for widely recognized achievements.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.