Triple

T8134268
Position Surface form Disambiguated ID Type / Status
Subject Mercer Ellington E189929 entity
Predicate notableWork P4 FINISHED
Object Blue Serge
"Blue Serge" is a jazz composition by bandleader and composer Mercer Ellington, often noted for its sophisticated harmonies and association with the Duke Ellington Orchestra’s repertoire.
 E714123 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: Blue Serge | Statement: [Mercer Ellington, notableWork, Blue Serge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blue Serge
Context triple: [Mercer Ellington, notableWork, Blue Serge]
  • A. Camel Blue
    Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • 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. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • D. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • E. Tweed
    Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
  • 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: Blue Serge
Triple: [Mercer Ellington, notableWork, Blue Serge]
Generated description
"Blue Serge" is a jazz composition by bandleader and composer Mercer Ellington, often noted for its sophisticated harmonies and association with the Duke Ellington Orchestra’s repertoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blue Serge
Target entity description: "Blue Serge" is a jazz composition by bandleader and composer Mercer Ellington, often noted for its sophisticated harmonies and association with the Duke Ellington Orchestra’s repertoire.
  • A. Camel Blue
    Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • 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. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • D. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • E. Tweed
    Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9488f0bc8190a4fdf6d021f54e13 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c180188190a2d541e8ea9a4c57 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970cf55c8190abf432ac68d6bbc3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.