Triple

T10811985
Position Surface form Disambiguated ID Type / Status
Subject Two Tickets to London E255124 entity
Predicate castMember P1668 FINISHED
Object Michèle Morgan E751309 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: Michèle Morgan | Statement: [Two Tickets to London, castMember, Michèle Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michèle Morgan
Context triple: [Two Tickets to London, castMember, Michèle Morgan]
  • A. Michèle Morgan chosen
    Michèle Morgan was a renowned French film actress celebrated for her expressive blue eyes and leading roles in classic European cinema from the 1930s through the 1960s.
  • B. Françoise Brion
    Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
  • C. Denise Darcel
    Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
  • D. Micheline Presle
    Micheline Presle is a renowned French actress known for her prolific film and television career spanning from the 1940s onward.
  • E. Mireille Darc
    Mireille Darc was a prominent French actress and model, best known for her roles in 1960s–1970s French cinema and her collaborations with director Georges Lautner.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15499158481908391f411420b19fc completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:18 p.m.