Triple

T15367490
Position Surface form Disambiguated ID Type / Status
Subject Mr. & Mrs. Smith (film score) E367454 entity
Predicate partOfFilmIndustry P101250 FINISHED
Object Hollywood E247 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: Hollywood | Statement: [Mr. & Mrs. Smith (film score), partOfFilmIndustry, Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood
Context triple: [Mr. & Mrs. Smith (film score), partOfFilmIndustry, Hollywood]
  • A. Hollywood
    Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • B. Hollywood
    Hollywood is a residential neighborhood in Homewood, Alabama, known for its historic homes and suburban character just outside Birmingham.
  • C. Hollywood
    Hollywood is a coastal city in southeastern Florida known for its beaches, boardwalk, and proximity to Miami.
  • D. Hollywood chosen
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • E. Universal City
    Universal City is a suburban community in the San Antonio metropolitan area of south-central Texas, known for its proximity to Randolph Air Force Base.
  • 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: partOfFilmIndustry
Context triple: [Mr. & Mrs. Smith (film score), partOfFilmIndustry, Hollywood]
  • A. originatesInFilmIndustry chosen
    Indicates that something has its source, development, or primary origin within the film industry.
  • B. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • C. popularFilmIndustry
    Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
  • D. occupationInFilm
    Indicates that an entity has a specific occupation or role within the context of a particular film.
  • E. businessPartnerInFilm
    Indicates that two entities are business partners within the context of a specific film or film-related project.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1341033881909121ade33cecaf50 completed May 9, 2026, 10:58 a.m.
PD Predicate disambiguation batch_69deca9ab7e88190a9261ef27be665b1 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:18 a.m.