Triple

T20080656
Position Surface form Disambiguated ID Type / Status
Subject The Tree of Blood E499989 entity
Predicate productionCompany P490 FINISHED
Object Arcadia Motion 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: Arcadia Motion Pictures | Statement: [The Tree of Blood, productionCompany, Arcadia Motion Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcadia Motion Pictures
Context triple: [The Tree of Blood, productionCompany, Arcadia Motion Pictures]
  • A. Arcadia Motion Pictures chosen
    Arcadia Motion Pictures is a Spanish film production company known for backing acclaimed independent and auteur-driven films such as the silent black-and-white drama "Blancanieves."
  • B. Arcola Pictures
    Arcola Pictures is a film production company best known for producing the 1967 crime drama "Tony Rome" starring Frank Sinatra.
  • C. Acorn Pictures
    Acorn Pictures is a film production company best known for its involvement in the acclaimed British comedy-drama "Educating Rita."
  • D. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • E. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.