Triple

T23111111
Position Surface form Disambiguated ID Type / Status
Subject Christina Vidal E576320 entity
Predicate residence P75 FINISHED
Object New York City (historical) 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: New York City (historical) | Statement: [Christina Vidal, residence, New York City (historical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City (historical)
Context triple: [Christina Vidal, residence, New York City (historical)]
  • A. Manhattan
    Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
  • B. Manhattan
    The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
  • C. Manhattan
    Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
  • D. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • E. Manhatta
    Manhatta is a pioneering 1921 avant-garde short film that poetically depicts New York City through experimental cinematography and urban imagery.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0f4d188190a9395074c630ab0d completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.