Triple

T10720068
Position Surface form Disambiguated ID Type / Status
Subject Diane Cilento E252794 entity
Predicate name P16 FINISHED
Object Diane Cilento E252794 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: Diane Cilento | Statement: [Diane Cilento, name, Diane Cilento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diane Cilento
Context triple: [Diane Cilento, name, Diane Cilento]
  • A. Diane Cilento chosen
    Diane Cilento was an Australian actress known for her work in British and international cinema and theatre, and for her Academy Award–nominated role in the film "Tom Jones" (1963).
  • B. Patricia Dainton
    Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
  • C. Diane Johnston
    Diane Johnston is the mother of American record producer and songwriter Bob Johnston.
  • D. Amy Jellicoe
    Amy Jellicoe is the troubled, idealistic corporate employee at the center of the HBO series "Enlightened," whose spiritual awakening clashes with her self-destructive tendencies and workplace realities.
  • E. Diane Buckley
    Diane Buckley is the central character of the sitcom "Trophy Wife," a former party girl adjusting to life as the third wife in a complicated blended family.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d42033c81908cafe500213a9da1 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb72b9ce08190a9134f3365d3f8cb completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.