Triple

T6239450
Position Surface form Disambiguated ID Type / Status
Subject Kristin (TV series) E139561 entity
Predicate locationSetting P7747 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: [Kristin (TV series), locationSetting, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City
Context triple: [Kristin (TV series), locationSetting, 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: locationSetting
Context triple: [Kristin (TV series), locationSetting, New York City]
  • A. settingCity chosen
    Indicates that a work or event takes place in, or is primarily located within, a particular city.
  • B. locationServices
    Indicates that one entity provides, enables, or manages geographic positioning or place-related functionalities for another entity.
  • C. locationFocus
    Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
  • D. agingLocation
    Indicates the place where an entity undergoes an aging process or is stored to age over time.
  • E. locationInSystem
    Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063048df081909a13d16b6f6bf65d completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d3a18e4819081b6f3c5a1f02b25 completed March 24, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69c05601de6481909d0880048fd7b49a completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:23 p.m.