Triple

T11049826
Position Surface form Disambiguated ID Type / Status
Subject Come to Daddy E261215 entity
Predicate distributor P1951 FINISHED
Object Saban Films E678386 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: Saban Films | Statement: [Come to Daddy, distributor, Saban Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saban Films
Context triple: [Come to Daddy, distributor, Saban Films]
  • A. Saban Films chosen
    Saban Films is an American film distribution company known for acquiring and releasing independent and genre films, particularly in the North American market.
  • B. Envision Entertainment
    Envision Entertainment is a film production company known for working on projects such as the war drama "Lone Survivor."
  • C. Simpson–Bruckheimer Films
    Simpson–Bruckheimer Films was a prolific Hollywood production company best known for high-concept, commercially successful action and blockbuster films of the 1980s and early 1990s.
  • D. Arclight Films
    Arclight Films is an international film production and sales company known for financing and distributing independent and genre films worldwide.
  • E. The Saul Zaentz Company
    The Saul Zaentz Company is an American film production and licensing company best known for producing acclaimed films such as "One Flew Over the Cuckoo's Nest," "Amadeus," and "The English Patient."
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa06bae08190a0db615a258ded29 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.