Triple

T14049428
Position Surface form Disambiguated ID Type / Status
Subject Raymond Massey as Adam Trask E338044 entity
Predicate filmColorProcess P13343 FINISHED
Object WarnerColor E221276 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: WarnerColor | Statement: [Raymond Massey as Adam Trask, filmColorProcess, WarnerColor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WarnerColor
Context triple: [Raymond Massey as Adam Trask, filmColorProcess, WarnerColor]
  • A. WarnerColor chosen
    WarnerColor was a proprietary color motion picture process developed by Warner Bros. and used in several of its mid-20th-century films.
  • B. Warner’s
    Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
  • C. Warner
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • D. Warner
    Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
  • E. Warner Vision
    Warner Vision is a publishing imprint associated with the Time Warner Book Group, known for releasing a range of commercial fiction and non-fiction titles.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c88b5e48190b0f0149102c08992 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.