Triple

T2517477
Position Surface form Disambiguated ID Type / Status
Subject Shutter Island E55444 entity
Predicate productionCompany P490 FINISHED
Object Phoenix Pictures E244199 NE FINISHED

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: Phoenix Pictures | Statement: [Shutter Island, productionCompany, Phoenix Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix Pictures
Context triple: [Shutter Island, productionCompany, Phoenix Pictures]
  • A. Phoenix Pictures chosen
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • B. Sun Pictures
    Sun Pictures is a prominent Indian film production and distribution company best known for producing major Tamil-language blockbuster movies.
  • C. Phénix
    Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
  • D. Nomadic Pictures
    Nomadic Pictures is a Canadian film and television production company known for producing series such as Hell on Wheels and other genre and drama projects.
  • E. Metro Pictures
    Metro Pictures was an early 20th-century American film production and distribution company that later merged into Metro-Goldwyn-Mayer (MGM), helping form one of Hollywood’s major studios.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2111d28819099884a2bec5e0366 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b9ef8048190bafff3f1853321cb completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.