Triple

T3292907
Position Surface form Disambiguated ID Type / Status
Subject Rickwood Field E69142 entity
Predicate hasBeenFilmLocationFor P4373 FINISHED
Object Cobb E289132 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: Cobb | Statement: [Rickwood Field, hasBeenFilmLocationFor, Cobb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobb
Context triple: [Rickwood Field, hasBeenFilmLocationFor, Cobb]
  • A. Cobb
    Cobb is the skilled professional thief and extractor portrayed by Leonardo DiCaprio in Christopher Nolan’s science-fiction film "Inception."
  • B. Cobb chosen
    Cobb is a biographical sports drama film about legendary baseball player Ty Cobb, written and directed by Ron Shelton.
  • C. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Mal Cobb
    Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
  • 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: hasBeenFilmLocationFor
Context triple: [Rickwood Field, hasBeenFilmLocationFor, Cobb]
  • A. filmLocationFor chosen
    Indicates a relationship where a specific place serves as the filming location for a particular film or production.
  • B. filmingLocationContext
    Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
  • C. notableFilmingLocation
    Indicates that a place served as a significant or well-known location where a film or television production was shot.
  • D. hasFilmIndustryCenter
    Indicates that a location serves as a primary hub or central base for activities related to the film industry.
  • E. countryOfFilming
    Indicates the country where the filming or production of a work physically took 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ada42407dc81909f60d7a14e1b7934 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:10 p.m.