Triple

T11050906
Position Surface form Disambiguated ID Type / Status
Subject Lisa Rowe E261244 entity
Predicate portrayedBy P1507 FINISHED
Object Angelina Jolie E37415 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: Angelina Jolie | Statement: [Lisa Rowe, portrayedBy, Angelina Jolie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelina Jolie
Context triple: [Lisa Rowe, portrayedBy, 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 (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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86052148190adfc250c3dd27094 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.