Triple

T6791278
Position Surface form Disambiguated ID Type / Status
Subject Disobedience E155936 entity
Predicate castMember P1668 FINISHED
Object Bernice Stegers E690206 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: Bernice Stegers | Statement: [Disobedience, castMember, Bernice Stegers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernice Stegers
Context triple: [Disobedience, castMember, Bernice Stegers]
  • A. Bernice Stegers chosen
    Bernice Stegers is a British actress known for her work in film, television, and theatre, including roles in productions such as "Four Weddings and a Funeral" and various British TV dramas.
  • B. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • C. Diane Millstead
    Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
  • D. Maureen Robinson
    Maureen Robinson is the brilliant and resourceful matriarch of the Robinson family in the 2018 reboot of the science fiction series "Lost in Space."
  • E. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69d076fe8448819087e12ffe4d5bdf3c completed April 4, 2026, 2:27 a.m.
Created at: March 27, 2026, 2:15 p.m.