Triple

T23188397
Position Surface form Disambiguated ID Type / Status
Subject Nanette Newman E579660 entity
Predicate notableWork P4 FINISHED
Object The Devil's Widow NE NERFINISHED

How this triple was built (3 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: The Devil's Widow | Statement: [Nanette Newman, notableWork, The Devil's Widow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Devil's Widow
Context triple: [Nanette Newman, notableWork, The Devil's Widow]
  • A. The Devil’s Mistress
    The Devil’s Mistress is a historical drama film centered on the life of Czech actress Lída Baarová and her relationship with Nazi propaganda minister Joseph Goebbels.
  • B. The Devil’s Whore
    The Devil’s Whore is a British historical drama television series set during the English Civil War, following a young woman entangled in the era’s political and religious upheavals.
  • C. The Devil's Bride
    The Devil's Bride is a 1968 British horror film based on Dennis Wheatley’s novel "The Devil Rides Out," featuring occult themes and starring Christopher Lee.
  • D. Devil’s Bane
    Devil’s Bane is a track from Tori Amos’s 2017 album *Native Invader*, known for its blues-inflected sound and environmentally charged themes.
  • E. The Devil Riding
    "The Devil Riding" is a mystery novel by Valerie Joy Wilson Wesley, featuring her African American female detective Tamara Hayle as she investigates a complex, danger-laced case.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Devil's Widow
Target entity description: The Devil's Widow is a 1970 British horror film, also known as "The Ballad of Tam Lin," in which Nanette Newman stars in a modern retelling of the Scottish folk legend.
  • A. The Devil’s Mistress
    The Devil’s Mistress is a historical drama film centered on the life of Czech actress Lída Baarová and her relationship with Nazi propaganda minister Joseph Goebbels.
  • B. The Devil’s Whore
    The Devil’s Whore is a British historical drama television series set during the English Civil War, following a young woman entangled in the era’s political and religious upheavals.
  • C. The Devil's Bride
    The Devil's Bride is a 1968 British horror film based on Dennis Wheatley’s novel "The Devil Rides Out," featuring occult themes and starring Christopher Lee.
  • D. Devil’s Bane
    Devil’s Bane is a track from Tori Amos’s 2017 album *Native Invader*, known for its blues-inflected sound and environmentally charged themes.
  • E. The Devil Riding
    "The Devil Riding" is a mystery novel by Valerie Joy Wilson Wesley, featuring her African American female detective Tamara Hayle as she investigates a complex, danger-laced case.
  • F. None of above. chosen

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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd592248190a7e705c554885cd1 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.