Triple

T352635
Position Surface form Disambiguated ID Type / Status
Subject Duke University E7474 entity
Predicate colors P60 FINISHED
Object Duke blue
Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
 E44615 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: Duke blue | Statement: [Duke University, colors, Duke blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duke blue
Context triple: [Duke University, colors, Duke blue]
  • A. Yale Blue
    Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
  • B. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • C. Tiffany Blue
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • D. Blue
    Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
  • E. JBLU
    JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
  • 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: Duke blue
Triple: [Duke University, colors, Duke blue]
Generated description
Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duke blue
Target entity description: Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • A. Yale Blue
    Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
  • B. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • C. Tiffany Blue
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • D. Blue
    Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
  • E. JBLU
    JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb7f1be88190964ddcbb6a05f021 completed Feb. 28, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd353b488190b6ed966290260806 completed March 1, 2026, 6:31 a.m.
NEDg Description generation batch_69a3ddbbe7e08190ac167e158d19dbce completed March 1, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a3de3fef7c819082193eb7083175e1 completed March 1, 2026, 6:35 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.