Triple

T17077734
Position Surface form Disambiguated ID Type / Status
Subject Coca-Cola red E414392 entity
Predicate hasColorModel P52856 FINISHED
Object Pantone E538761 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: Pantone | Statement: [Coca-Cola red, hasColorModel, Pantone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantone
Context triple: [Coca-Cola red, hasColorModel, Pantone]
  • A. Pantone chosen
    Pantone is a standardized color matching system and company best known for its widely used Pantone Matching System (PMS), which enables consistent color reproduction across printing, design, and manufacturing industries.
  • B. Pantone 280 C
    Pantone 280 C is a deep, vivid shade of blue widely used in branding and collegiate color schemes, notably associated with Duke University.
  • C. Fabray
    Fabray is the surname of Quinn Fabray, a central cheerleader-turned-glee-club member character from the television series "Glee."
  • D. Benjamin Moore
    Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
  • E. Wegmann & Co
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc625c48190b679a521180e10ad completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edfda588190aff6c6d4c8d64ddd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.