Triple

T16993703
Position Surface form Disambiguated ID Type / Status
Subject Robots E412259 entity
Predicate voiceCastMember P9616 FINISHED
Object Halle Berry E241118 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: Halle Berry | Statement: [Robots, voiceCastMember, Halle Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halle Berry
Context triple: [Robots, voiceCastMember, Halle Berry]
  • A. Halle Berry chosen
    Halle Berry is an American actress and former fashion model acclaimed for her groundbreaking, award-winning performances in film and television.
  • B. 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."
  • C. Jennifer Raines
    Jennifer Raines is a musician best known as a former member of the American psychedelic rock band The Black Angels.
  • D. Jennifer Diane Lewis
    Jennifer Diane Lewis is an American singer-songwriter, musician, and actress best known as the lead vocalist of the indie rock band Rilo Kiley and for her acclaimed solo albums.
  • E. Renée Zellweger
    Renée Zellweger is an Academy Award–winning American actress best known for her versatile performances in films such as Jerry Maguire, Chicago, and the Bridget Jones series.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.