Triple

T7603916
Position Surface form Disambiguated ID Type / Status
Subject Maleficent: Mistress of Evil E180052 entity
Predicate castMember P1668 FINISHED
Object Juno Temple E389721 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: Juno Temple | Statement: [Maleficent: Mistress of Evil, castMember, Juno Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juno Temple
Context triple: [Maleficent: Mistress of Evil, castMember, Juno Temple]
  • A. Juno Temple chosen
    Juno Temple is an English actress known for her eclectic film roles and acclaimed performance as Keeley Jones in the television series "Ted Lasso."
  • B. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • C. Olivia DeJonge
    Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
  • D. Samara Weaving
    Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
  • E. Olivia Thirlby
    Olivia Thirlby is an American actress known for her roles in films such as "Juno," "Dredd," and various independent and mainstream productions.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a9dd42c8190bd03e960ebad8df9 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:54 p.m.