Triple

T20819872
Position Surface form Disambiguated ID Type / Status
Subject Dominion E512543 entity
Predicate castMember P1668 FINISHED
Object Kim Engelbrecht 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: Kim Engelbrecht | Statement: [Dominion, castMember, Kim Engelbrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Engelbrecht
Context triple: [Dominion, castMember, Kim Engelbrecht]
  • A. Kim Engelbrecht chosen
    Kim Engelbrecht is a South African actress known for her work in film and television, including roles in international productions such as the thriller "Eye in the Sky."
  • B. Lisa Brühlmann
    Lisa Brühlmann is a Swiss film and television director and screenwriter known for her work on acclaimed series such as "The Girl Before" and "Killing Eve."
  • C. Cathy Engelbert
    Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
  • D. Lisa Kreuzer
    Lisa Kreuzer is a German actress known for her work in New German Cinema, particularly in collaborations with director Wim Wenders.
  • E. Lisa Reisert
    Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f6a65481909a0df78616e185e4 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.