Triple

T2164938
Position Surface form Disambiguated ID Type / Status
Subject Camel E46887 entity
Predicate hasVariant P455 FINISHED
Object Camel Blue
Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
 E240653 NE FINISHED

How this triple was built (4 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: Camel Blue | Statement: [Camel, hasVariant, Camel Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camel Blue
Context triple: [Camel, hasVariant, Camel Blue]
  • A. Crome Yellow
    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. Cambridge blue
    Cambridge blue is a light, greyish-blue color traditionally associated with the University of Cambridge and its sports teams.
  • C. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • D. Sky Blue
    "Sky Blue" is an abstract painting by Russian artist Wassily Kandinsky, characterized by its vibrant colors and dynamic geometric forms that exemplify his pioneering work in non-representational art.
  • E. Goose Green
    Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Camel Blue
Triple: [Camel, hasVariant, Camel Blue]
Generated description
Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camel Blue
Target entity description: Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • A. Crome Yellow
    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. Cambridge blue
    Cambridge blue is a light, greyish-blue color traditionally associated with the University of Cambridge and its sports teams.
  • C. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • D. Sky Blue
    "Sky Blue" is an abstract painting by Russian artist Wassily Kandinsky, characterized by its vibrant colors and dynamic geometric forms that exemplify his pioneering work in non-representational art.
  • E. Goose Green
    Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
  • F. None of above. chosen

Provenance (5 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8e1cfc81908adc0357ddfec701 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ee18ac81909f02e2c87000365b completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5972d3d4819082f8896f12126422 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a10607881909849a72201399d62 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.