Triple

T22828960
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan (2003 film) E565743 entity
Predicate stars P1956 FINISHED
Object Lynn Redgrave NE NERFINISHED

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: Lynn Redgrave | Statement: [Peter Pan (2003 film), stars, Lynn Redgrave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynn Redgrave
Context triple: [Peter Pan (2003 film), stars, Lynn Redgrave]
  • A. Lynn Redgrave chosen
    Lynn Redgrave was an acclaimed English actress from the famous Redgrave acting family, known for her versatile performances in film, television, and theatre.
  • B. Corin Redgrave
    Corin Redgrave was an English stage and screen actor, and a member of the prominent Redgrave acting family, known for his work in classical theatre and numerous film and television roles.
  • C. Vanessa Redgrave
    Vanessa Redgrave is an acclaimed English actress known for her powerful performances in film, television, and theatre, and for being one of the most respected performers of her generation.
  • D. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • E. Frances Barber
    Frances Barber is an English actress known for her extensive work in film, television, and theatre, including roles in productions such as "Film Stars Don’t Die in Liverpool."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.