Triple

T19572188
Position Surface form Disambiguated ID Type / Status
Subject The Little Apple E489745 entity
Predicate alludesTo P5142 FINISHED
Object The Big Apple 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 Big Apple | Statement: [The Little Apple, alludesTo, The Big Apple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Apple
Context triple: [The Little Apple, alludesTo, The Big Apple]
  • A. The Big Apple chosen
    The Big Apple is a famous nickname for New York City, evoking its status as a major global center of culture, finance, and entertainment.
  • B. Big Apple
    Big Apple is a short-lived 2001 American crime drama television series created by David Milch that follows New York City detectives working with the FBI to take down organized crime.
  • C. Brew City
    Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
  • D. Jones New York
    Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.