Triple

T16652294
Position Surface form Disambiguated ID Type / Status
Subject Master (Doctor Who) E404635 entity
Predicate portrayedBy P1507 FINISHED
Object Michelle Gomez 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: Michelle Gomez | Statement: [Master (Doctor Who), portrayedBy, Michelle Gomez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Gomez
Context triple: [Master (Doctor Who), portrayedBy, Michelle Gomez]
  • A. Michelle Gomez chosen
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • B. Pamela Rabe
    Pamela Rabe is an acclaimed Canadian-Australian actress and theatre director known for her powerful stage work and prominent roles in Australian film and television.
  • C. Laura Penn
    Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
  • D. Andrea Riseborough
    Andrea Riseborough is an English actress known for her versatile performances in independent films and major productions such as "Birdman," "Mandy," and the Oscar-nominated "To Leslie."
  • E. Jessica Riley
    Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf7ae7c81908b6807acd8f1669b completed April 18, 2026, 12:41 p.m.
Created at: April 10, 2026, 5:18 a.m.