Triple

T1664745
Position Surface form Disambiguated ID Type / Status
Subject Empire (film) E35984 entity
Predicate shootingLocation P4373 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: [Empire (film), shootingLocation, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City
Context triple: [Empire (film), shootingLocation, 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: shootingLocation
Context triple: [Empire (film), shootingLocation, New York City]
  • A. allegedShooterLocation
    Indicates the place where a person is claimed or reported to have carried out a shooting.
  • B. capturedPlace
    Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
  • C. shoots
    Indicates that one entity propels a projectile or discharge toward another entity, typically with the intent to hit or affect it.
  • D. oftenPhotographedAt
    Indicates that an entity is frequently the subject of photographs taken at a particular location or during a specific event.
  • E. filmLocationFor chosen
    Indicates a relationship where a specific place serves as the filming location for a particular film or production.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa994f92b0819084ee2f6a672334b9 completed March 6, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0a98dc881909d6b06f77a850e21 completed March 8, 2026, 4:15 p.m.
PD Predicate disambiguation batch_69a907d2475c8190b7ec7dccd3335eb1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.