Triple

T13256829
Position Surface form Disambiguated ID Type / Status
Subject New Yorker E315679 entity
Predicate hasPluralForm P5088 FINISHED
Object New Yorkers E994322 NE FINISHED

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 Yorkers | Statement: [New Yorker, hasPluralForm, New Yorkers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Yorkers
Context triple: [New Yorker, hasPluralForm, New Yorkers]
  • A. New Yorkers chosen
    New Yorkers is a collection of short stories by Bai Xianyong that portrays the lives and emotional struggles of Chinese immigrants and expatriates in New York City.
  • B. The New Yorkers
    The New Yorkers is a 1930 Broadway musical comedy with a score by Cole Porter, known for its satirical take on Prohibition-era New York high society.
  • C. Old New York
    Old New York is a collection of four novellas by Edith Wharton that portray the manners, morals, and social constraints of New York’s upper class in the late 19th century.
  • D. To the 5 Boroughs
    To the 5 Boroughs is a 2004 studio album by the Beastie Boys that pays tribute to New York City with politically charged, old-school hip hop production.
  • E. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4240d881909f0ee898fd272826 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.