Triple

T19999655
Position Surface form Disambiguated ID Type / Status
Subject The Chairs E494282 entity
Predicate mainCharacters P9202 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: [The Chairs, mainCharacters, Old Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Woman
Context triple: [The Chairs, mainCharacters, Old Woman]
  • A. Old Woman
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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 is one of the two central, elderly protagonists in Eugène Ionesco’s absurdist play "The Chairs," embodying themes of isolation, memory, and the futility of communication.
  • 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. Old Woman
    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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.