Triple

T20391483
Position Surface form Disambiguated ID Type / Status
Subject T-X E498094 entity
Predicate antagonistOf P18963 FINISHED
Object Kate Brewster 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: Kate Brewster | Statement: [T-X, antagonistOf, Kate Brewster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Brewster
Context triple: [T-X, antagonistOf, Kate Brewster]
  • A. Kate Brewster chosen
    Kate Brewster is a key character in the Terminator franchise, a veterinarian who becomes John Connor’s future wife and a leader in the human resistance against Skynet.
  • B. Kate Pierson
    Kate Pierson is an American singer, songwriter, and multi-instrumentalist best known as a founding member and distinctive lead and backing vocalist of the new wave band The B-52s.
  • C. Kate Forte
    Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
  • D. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • E. Lisa Bryer
    Lisa Bryer is a British film producer best known for her work on acclaimed independent films, including the award-winning drama "The Last King of Scotland."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.