Triple

T4453687
Position Surface form Disambiguated ID Type / Status
Subject Yellow Submarine E97671 entity
Predicate filmProductionCompany P14415 FINISHED
Object Apple Films E439830 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: Apple Films | Statement: [Yellow Submarine, filmProductionCompany, Apple Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Films
Context triple: [Yellow Submarine, filmProductionCompany, Apple Films]
  • A. Apple Films chosen
    Apple Films was the film and television production company founded by The Beatles as part of their Apple Corps multimedia enterprise in the late 1960s.
  • B. Apple Original Films
    Apple Original Films is the film production and distribution division of Apple that develops and releases original movies for the Apple TV+ streaming platform.
  • C. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • D. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • E. RSA Films
    RSA Films is a renowned commercial and film production company known for creating high-profile advertising campaigns and visual storytelling for global brands.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f669948190b14ef42e8dbca525 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281cef58819095182f8c89fe6e59 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.