Triple

T10697052
Position Surface form Disambiguated ID Type / Status
Subject Lucy Saroyan E252172 entity
Predicate name P16 FINISHED
Object Lucy Saroyan E252172 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: Lucy Saroyan | Statement: [Lucy Saroyan, name, Lucy Saroyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy Saroyan
Context triple: [Lucy Saroyan, name, Lucy Saroyan]
  • A. Lucy Saroyan chosen
    Lucy Saroyan was an American actress and photographer, known for her film and television roles in the 1970s and as the daughter of playwright William Saroyan and actress Carol Grace.
  • B. Rachel Talalay
    Rachel Talalay is a film and television director and producer best known for her work on Doctor Who, including several major episodes in the Peter Capaldi era, as well as genre projects like Tank Girl and Freddy’s Dead: The Final Nightmare.
  • C. Lauretta Geigerman
    Lauretta Geigerman was the wife of American mob boss Frank Costello, a prominent figure in mid-20th-century organized crime.
  • D. Helen Soby
    Helen Soby is best known as the former wife of British television presenter and media personality Noel Edmonds.
  • E. Amy Yasbeck
    Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9cef8a48190a0ec4a27d5702e73 completed April 12, 2026, 5:43 p.m.
Created at: April 8, 2026, 9:12 p.m.