Triple

T22573682
Position Surface form Disambiguated ID Type / Status
Subject Roger Greenberg E544336 entity
Predicate filmTitleCharacter P144142 FINISHED
Object Greenberg NE NERFINISHED

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: Greenberg | Statement: [Roger Greenberg, filmTitleCharacter, Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenberg
Context triple: [Roger Greenberg, filmTitleCharacter, Greenberg]
  • A. Greenberg chosen
    Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
  • B. Greenberg
    Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
  • C. Marc Greenberg
    Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
  • D. Benjy Grinberg
    Benjy Grinberg is an American music executive and talent scout best known as the founder and longtime head of the independent hip-hop label Rostrum Records, which helped launch artists like Wiz Khalifa and Mac Miller.
  • E. Mutz Greenbaum
    Mutz Greenbaum was a prominent German-born cinematographer known for his influential work in British cinema during the early to mid-20th century.
  • 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: filmTitleCharacter
Context triple: [Roger Greenberg, filmTitleCharacter, Greenberg]
  • A. characterTitle
    Indicates that a character holds or is associated with a specific title, rank, or formal designation.
  • B. directorCharacterOf
    Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
  • C. portrayedTitleCharacter chosen
    Indicates that one entity played the main or title role character associated with another entity (such as a work or production).
  • D. filmSeriesProtagonistOf
    Indicates that a character serves as the main recurring protagonist of a particular film series.
  • E. givenNameInFilm
    Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
  • F. None of above.

Provenance (3 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:53 p.m.