Triple

T18019731
Position Surface form Disambiguated ID Type / Status
Subject La Vieille Dame E431084 entity
Predicate nameMeaning P453 FINISHED
Object the Old Lady — 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: the Old Lady | Statement: [La Vieille Dame, nameMeaning, the Old Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: the Old Lady
Context triple: [La Vieille Dame, nameMeaning, the Old Lady]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. "Old Lady"
    "Old Lady" is a colloquial nickname referring to the Bank of England, derived from the famous satirical figure known as the Old Lady of Threadneedle Street.
  • E. Die Alte Dame chosen
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c09fdc819097a7fa07d44b0505 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.