Triple

T10453505
Position Surface form Disambiguated ID Type / Status
Subject Bright Star E246491 entity
Predicate editor P1954 FINISHED
Object Alexandre de Franceschi E490650 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: Alexandre de Franceschi | Statement: [Bright Star, editor, Alexandre de Franceschi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre de Franceschi
Context triple: [Bright Star, editor, Alexandre de Franceschi]
  • A. Alexandre de Franceschi chosen
    Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
  • B. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • C. François Dufrêne
    François Dufrêne was a French avant-garde poet and visual artist associated with sound poetry and experimental practices within the Nouveau Réalisme movement.
  • D. Nicolas Béhuchet
    Nicolas Béhuchet was a 14th-century French naval commander and royal official who played a leading role in early Hundred Years’ War sea campaigns.
  • E. Jacques Defforey
    Jacques Defforey was a French businessman best known as one of the founders of the multinational retail corporation Carrefour.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:17 p.m.