Triple

T2821583
Position Surface form Disambiguated ID Type / Status
Subject Sidney Lumet E54820 entity
Predicate primarySettingOfFilms P14002 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: [Sidney Lumet, primarySettingOfFilms, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City
Context triple: [Sidney Lumet, primarySettingOfFilms, 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. 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.
  • C. 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.
  • D. Brooklyn
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • E. Washington, New York
    Washington, New York is a rural town in Dutchess County known for its historic hamlet of Millbrook, scenic landscapes, and equestrian and agricultural heritage.
  • 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: primarySettingOfFilms
Context triple: [Sidney Lumet, primarySettingOfFilms, New York City]
  • A. primaryCinema
    Indicates that one entity is the main or most significant cinema associated with another entity (such as a person, work, or event).
  • B. primarySettingOf
    Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
  • C. filmBase
    Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
  • D. filmMedium
    Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
  • E. primarySetting chosen
    Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b030cd78548190a07264d42e18906b completed March 10, 2026, 2:55 p.m.
PD Predicate disambiguation batch_69abdd08f2f481908c3da8a9c7a00552 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.