Triple

T19009439
Position Surface form Disambiguated ID Type / Status
Subject Anne Wimbush E465179 entity
Predicate fictionalUniverse P3758 FINISHED
Object Crome Yellow 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: Crome Yellow | Statement: [Anne Wimbush, fictionalUniverse, Crome Yellow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crome Yellow
Context triple: [Anne Wimbush, fictionalUniverse, Crome Yellow]
  • A. Crome Yellow chosen
    Crome Yellow is Aldous Huxley’s satirical 1921 novel that lampoons English upper-class society and intellectual pretensions through the events at a country house gathering.
  • B. French Blue
    French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
  • C. Camel Blue
    Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • D. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • E. Dartmouth green
    Dartmouth green is the distinctive dark green color traditionally associated with Dartmouth College and used prominently in its branding and athletic uniforms.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a72aa88190a04f13cd14ee77d4 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.