Triple

T7595364
Position Surface form Disambiguated ID Type / Status
Subject Doom Patrol E179843 entity
Predicate stars P1956 FINISHED
Object Michelle Gomez E76799 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: Michelle Gomez | Statement: [Doom Patrol, stars, Michelle Gomez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Gomez
Context triple: [Doom Patrol, stars, 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. 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."
  • C. Jessica Riley
    Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
  • D. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • E. Helen McCrory
    Helen McCrory was an acclaimed English stage and screen actress known for her powerful performances in works such as "Peaky Blinders," the "Harry Potter" film series, and numerous high-profile theatre productions.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a957e2881909c7592f673bea26f completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:53 p.m.