Triple

T14412077
Position Surface form Disambiguated ID Type / Status
Subject Abracadabra E357353 entity
Predicate productionCompany P490 FINISHED
Object Arcadia Motion Pictures E1098185 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: Arcadia Motion Pictures | Statement: [Abracadabra, productionCompany, Arcadia Motion Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcadia Motion Pictures
Context triple: [Abracadabra, 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. Acorn Pictures
    Acorn Pictures is a film production company best known for its involvement in the acclaimed British comedy-drama "Educating Rita."
  • C. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • D. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • E. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.