Triple

T20390009
Position Surface form Disambiguated ID Type / Status
Subject The Dead Don’t Die E498059 entity
Predicate starring P1507 FINISHED
Object Tilda Swinton 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: Tilda Swinton | Statement: [The Dead Don’t Die, starring, Tilda Swinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilda Swinton
Context triple: [The Dead Don’t Die, starring, Tilda Swinton]
  • A. Tilda Swinton chosen
    Tilda Swinton is a British actress known for her chameleonic performances in independent and mainstream films, often portraying unconventional and androgynous characters.
  • B. Tilda Thacker
    Tilda Thacker is a fictional actress character in the Coen brothers' film "Hail, Caesar!", portrayed as part of the movie's satirical take on Hollywood's Golden Age.
  • C. Tilda Cobham-Hervey
    Tilda Cobham-Hervey is an Australian actress known for her work in independent films and international productions, including the thriller "Hotel Mumbai."
  • D. Tilda Blue
    Tilda Blue was the wife of American silent film actor Monte Blue, known primarily in relation to his life and career.
  • E. Helena Bonham Carter
    Helena Bonham Carter is an acclaimed English actress known for her versatile performances in both period dramas and eccentric contemporary roles, including frequent collaborations with director Tim Burton.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.