Triple

T2595056
Position Surface form Disambiguated ID Type / Status
Subject Veronique Passani E58208 entity
Predicate child P120 FINISHED
Object Cecilia Peck E90762 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: Cecilia Peck | Statement: [Veronique Passani, child, Cecilia Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecilia Peck
Context triple: [Veronique Passani, child, Cecilia Peck]
  • A. Cecilia Peck chosen
    Cecilia Peck is an American actress, documentary filmmaker, and producer, and the daughter of legendary actor Gregory Peck.
  • B. Cecilia Parker
    Cecilia Parker was a Canadian-born American film actress best known for playing Marian Hardy, the sister of Mickey Rooney’s character, in the popular Andy Hardy film series of the 1930s and 1940s.
  • C. Vina Wray
    Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • D. Lela Rogers
    Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
  • E. Eugenia McMahon
    Eugenia McMahon was the wife of prominent American labor leader George Meany.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b03dd08190a7d0df9f06fb3048 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:49 p.m.