Triple

T15722425
Position Surface form Disambiguated ID Type / Status
Subject Henri Alekan E381130 entity
Predicate workedOn P3 FINISHED
Object La Belle et la Bête E937967 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: La Belle et la Bête | Statement: [Henri Alekan, workedOn, La Belle et la Bête]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Belle et la Bête
Context triple: [Henri Alekan, workedOn, La Belle et la Bête]
  • A. La Belle et la Bête (film) chosen
    La Belle et la Bête is a 1946 French fantasy romance film directed by Jean Cocteau, celebrated for its poetic visual style and adaptation of the classic Beauty and the Beast fairy tale.
  • B. Beauty and the Beast
    Beauty and the Beast is a beloved fairy tale and popular musical about a young woman who learns to love a cursed prince despite his monstrous appearance.
  • C. Beauty and the Beast
    Beauty and the Beast is a celebrated American Thoroughbred racehorse known for its performances on the track.
  • D. Beauty and the Beast
    Beauty and the Beast is a romantic fantasy film in which Edward Albert stars in a modern retelling of the classic fairy tale about a cursed man and the woman who comes to love him.
  • E. Beauty and the Beast
    "Beauty and the Beast" is a popular grime/rap single by British artist Bugzy Malone that showcases his storytelling style and emotional lyricism.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f464008190ae0e79f50b9b3eb3 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:45 a.m.