Triple

T12209505
Position Surface form Disambiguated ID Type / Status
Subject Twenty Twelve E290918 entity
Predicate starring P1507 FINISHED
Object Morven Christie E871212 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: Morven Christie | Statement: [Twenty Twelve, starring, Morven Christie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morven Christie
Context triple: [Twenty Twelve, starring, Morven Christie]
  • A. Morven Christie chosen
    Morven Christie is a Scottish actress known for her work in British television dramas, films, and theatre, including prominent roles in series such as "The A Word," "Grantchester," and "The Bay."
  • B. Lena Headey
    Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
  • C. Michelle Gomez
    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.
  • D. Saskia Reeves
    Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
  • E. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684cc45b48190a388b38ef301c2f8 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:51 p.m.