Triple

T21036265
Position Surface form Disambiguated ID Type / Status
Subject Phil Rosen E518196 entity
Predicate employer P7 FINISHED
Object Republic Pictures 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: Republic Pictures | Statement: [Phil Rosen, employer, Republic Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic Pictures
Context triple: [Phil Rosen, employer, Republic Pictures]
  • A. Republic Pictures chosen
    Republic Pictures was an American film production and distribution company best known for its low-budget B-movies, serials, and Westerns during Hollywood’s studio era.
  • B. Imperial Pictures
    Imperial Pictures was an American film production company active during the early 20th century, known for producing low- to mid-budget feature films.
  • C. Monogram Pictures
    Monogram Pictures was an American film studio and distributor best known for producing and releasing low-budget B movies during Hollywood’s Golden Age.
  • D. Monarch Pictures
    Monarch Pictures is a film production company known for producing feature films such as the thriller "Copycat."
  • E. RKO Radio Pictures
    RKO Radio Pictures was a major Hollywood film studio of the 1930s and 1940s, known for producing classic movies including landmark monster, musical, and film noir films.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc865ca88190abf336ee9012fa77 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.