Triple

T23122736
Position Surface form Disambiguated ID Type / Status
Subject Leo Shuken E576941 entity
Predicate employer P7 FINISHED
Object Hollywood studios NE NERFINISHED

How this triple was built (2 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 studios | Statement: [Leo Shuken, employer, Hollywood studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood studios
Context triple: [Leo Shuken, employer, Hollywood studios]
  • A. Hollywood studios chosen
    Hollywood studios are major American film production companies based in Hollywood that dominate the global movie industry through large-scale financing, production, and distribution of films.
  • B. Metro-Goldwyn-Mayer
    Metro-Goldwyn-Mayer is a historic American film studio renowned for its classic Hollywood productions and iconic roaring lion logo.
  • C. Paramount Pictures Studios
    Paramount Pictures Studios is a historic major American film studio and production lot in Hollywood known for producing and distributing countless iconic movies and television shows.
  • D. Fox studios in Hollywood
    Fox studios in Hollywood is a historic film production lot in Los Angeles that served as a major hub for early 20th-century American cinema.
  • E. Moving Picture Company
    Moving Picture Company is a major global visual effects and post-production studio known for its work on high-profile feature films, television, and commercials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e517a0481909829a73fdf255d1c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.