Triple

T22655164
Position Surface form Disambiguated ID Type / Status
Subject The Mahabharata (1989 film) E559203 entity
Predicate stars P1956 FINISHED
Object Georges Corraface 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: Georges Corraface | Statement: [The Mahabharata (1989 film), stars, Georges Corraface]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Corraface
Context triple: [The Mahabharata (1989 film), stars, Georges Corraface]
  • A. Georges Corraface chosen
    Georges Corraface is a French actor known for his work in international cinema and television, including prominent roles in European and American productions.
  • B. Louis Gohier
    Louis Gohier was a French lawyer and politician who served as a member of the French Directory during the late stages of the French Revolution.
  • C. Luc Béraud
    Luc Béraud is a French screenwriter and film director known for his work on numerous acclaimed French films since the 1970s.
  • D. Louis Anquetin
    Louis Anquetin was a French Post-Impressionist painter known for his bold use of flat color areas and outlines, and for helping pioneer the Cloisonnist style in late 19th-century Paris.
  • E. Georges Géret
    Georges Géret was a French character actor known for his intense performances in numerous European films from the 1960s through the 1980s.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765a97ac819095f21ccbdada1d0a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.