Triple

T22916504
Position Surface form Disambiguated ID Type / Status
Subject Farewell to the King E568745 entity
Predicate distributor P1951 FINISHED
Object Orion Classics 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: Orion Classics | Statement: [Farewell to the King, distributor, Orion Classics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orion Classics
Context triple: [Farewell to the King, distributor, Orion Classics]
  • A. Orion Classics chosen
    Orion Classics is a specialty film division known for distributing independent and art-house movies under the Orion Pictures brand.
  • B. Virgin Classics
    Virgin Classics was a classical music record label known for producing high-quality recordings by prominent artists and ensembles, particularly in Baroque and early music.
  • C. Orbis Books
    Orbis Books is a Catholic publishing house known for progressive and liberation theology titles that engage issues of social justice and faith.
  • D. Onyx Classics
    Onyx Classics is an independent classical music record label known for high-quality recordings by prominent artists such as pianist Jonathan Biss.
  • E. Hyperion Books
    Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807a14648190b5d5f7d926f19320 completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.