Triple

T9056042
Position Surface form Disambiguated ID Type / Status
Subject Old Dan Tucker E216998 entity
Predicate firstKnownPerformanceLocation P58338 FINISHED
Object New York City E40 NE FINISHED

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: New York City | Statement: [Old Dan Tucker, firstKnownPerformanceLocation, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City
Context triple: [Old Dan Tucker, firstKnownPerformanceLocation, New York City]
  • A. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • C. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstKnownPerformanceLocation
Context triple: [Old Dan Tucker, firstKnownPerformanceLocation, New York City]
  • A. firstUSPerformanceLocation
    Indicates the location where an entity was first performed in the United States.
  • B. firstPerformanceAt chosen
    Indicates the location or event at which an entity (such as a work or performance) was first performed.
  • C. firstPerformanceBy
    Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
  • D. firstPerformance
    Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
  • E. originalPerformanceVenue
    Indicates the venue where a performance was first originally presented or premiered.
  • F. None of above.

Provenance (4 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a75d8e881909414d745ec054182 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd6b7eb88190b878165e41cf1df8 completed April 3, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69cc5ee6d83c819095d8ed0779aa8511 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:10 p.m.