Triple

T12157420
Position Surface form Disambiguated ID Type / Status
Subject Benoît E289610 entity
Predicate variantSpelling P457 FINISHED
Object Benoit E289610 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: Benoit | Statement: [Benoît, variantSpelling, Benoit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benoit
Context triple: [Benoît, variantSpelling, Benoit]
  • A. Benoît chosen
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • B. Baptiste
    Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
  • C. Sylvain
    Sylvain is a masculine given name of French origin commonly used in Francophone countries.
  • D. Benoit Jacob
    Benoit Jacob is an automotive designer best known for leading the design of BMW’s innovative electric i-series models, including the BMW i3.
  • E. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.