Triple

T23339763
Position Surface form Disambiguated ID Type / Status
Subject Taking Lives E591701 entity
Predicate starring P1507 FINISHED
Object Angelina Jolie 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: Angelina Jolie | Statement: [Taking Lives, starring, Angelina Jolie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelina Jolie
Context triple: [Taking Lives, starring, Angelina Jolie]
  • A. Angelina Jolie chosen
    Angelina Jolie is an American actress, filmmaker, and humanitarian renowned for her acclaimed performances in films such as "Girl, Interrupted" and "Maleficent," as well as her extensive global advocacy work.
  • B. Marie Jolie
    Marie Jolie is a song by the Greek band Aphrodite's Child, featured on their 1969 album "It's Five O'Clock."
  • C. Jolie Gabor
    Jolie Gabor was a Hungarian-American jeweler and socialite best known as the glamorous matriarch of the Gabor family of actresses and celebrities.
  • D. Jessica Alba
    Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
  • E. Charlize Theron
    Charlize Theron is an Academy Award–winning South African–American actress and producer known for her versatile performances in films such as "Monster," "Mad Max: Fury Road," and "Atomic Blonde."
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.