Triple

T3223714
Position Surface form Disambiguated ID Type / Status
Subject Charles Walters E67570 entity
Predicate collaboratedWith P435 FINISHED
Object Leslie Caron E46776 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: Leslie Caron | Statement: [Charles Walters, collaboratedWith, Leslie Caron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Caron
Context triple: [Charles Walters, collaboratedWith, Leslie Caron]
  • A. Leslie Caron chosen
    Leslie Caron is a French-American actress and dancer best known for her roles in classic Hollywood musicals such as "An American in Paris" and "Gigi."
  • B. Nina Foch
    Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
  • C. Françoise Rosay
    Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
  • D. Simone Signoret
    Simone Signoret was an acclaimed French actress and Academy Award winner, renowned for her powerful performances in mid-20th-century European cinema.
  • E. Renée Victor
    Renée Victor is an American actress known for her work in film, television, and voice acting, including roles in projects like the animated feature "Coco."
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1ae8f08190880d0f0e8539cdbc completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27726f76c819092a199ae07a7e688 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.