Triple

T9913626
Position Surface form Disambiguated ID Type / Status
Subject The Player (1992 film) E185807 entity
Predicate cinematographyBy P1953 FINISHED
Object Jean Lépine E755733 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: Jean Lépine | Statement: [The Player (1992 film), cinematographyBy, Jean Lépine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Lépine
Context triple: [The Player (1992 film), cinematographyBy, Jean Lépine]
  • A. Jean Lépine chosen
    Jean Lépine is a cinematographer known for his work on the film "One Christmas."
  • B. Stanislas Lépine
    Stanislas Lépine was a 19th-century French painter known for his quiet, atmospheric urban and river landscapes of Paris, often associated with the Impressionist movement.
  • C. Marc Lépine
    Marc Lépine was a Canadian mass murderer who killed 14 women in the 1989 antifeminist attack at Montreal’s École Polytechnique.
  • D. Christian Lépine
    Christian Lépine is a Canadian Roman Catholic prelate who serves as the Archbishop of Montreal.
  • E. Dominique Davray
    Dominique Davray was a French actress known for her supporting roles in mid-20th-century French cinema, including a notable appearance in Agnès Varda’s film "Cléo from 5 to 7."
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:41 p.m.