Triple

T19858946
Position Surface form Disambiguated ID Type / Status
Subject Yerma E477206 entity
Predicate mainCharacter P1183 FINISHED
Object Old Woman 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: Old Woman | Statement: [Yerma, mainCharacter, Old Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Woman
Context triple: [Yerma, mainCharacter, Old Woman]
  • A. Old Woman
    Old Woman is a minor character in James Baldwin’s play "The Amen Corner," representing the older, devout members of the Harlem church community.
  • B. the Old Woman
    The Old Woman is a resilient, sharp-witted servant and storyteller in Voltaire’s satirical novella "Candide," known for her tragic backstory and cynical perspective on suffering.
  • C. The Old Woman
    The Old Woman is a surreal, experimental stage production by avant-garde theater director Robert Wilson, known for its striking visual style and non-linear narrative.
  • D. The Old Lady
    The Old Lady is a recurring comic character from Fontaine Fox’s early 20th-century newspaper strip "Toonerville Folks," known for embodying the quaint, humorous charm of small-town life.
  • E. The Old People
    "The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
  • 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: Old Woman
Target entity description: The Old Woman in Federico García Lorca's play "Yerma" is a blunt, earthy, and pragmatic figure who offers traditional, often cynical advice about fertility, marriage, and desire.
  • A. Old Woman
    Old Woman is a minor character in James Baldwin’s play "The Amen Corner," representing the older, devout members of the Harlem church community.
  • B. the Old Woman
    The Old Woman is a resilient, sharp-witted servant and storyteller in Voltaire’s satirical novella "Candide," known for her tragic backstory and cynical perspective on suffering.
  • C. The Old Woman
    The Old Woman is a surreal, experimental stage production by avant-garde theater director Robert Wilson, known for its striking visual style and non-linear narrative.
  • D. The Old Lady
    The Old Lady is a recurring comic character from Fontaine Fox’s early 20th-century newspaper strip "Toonerville Folks," known for embodying the quaint, humorous charm of small-town life.
  • E. The Old People
    "The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586dbbf0819089e7157d416aeaaf completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.