Triple

T9650144
Position Surface form Disambiguated ID Type / Status
Subject Duke Blue Devils football team E233309 entity
Predicate formerName P65 FINISHED
Object Trinity Blue and White
Trinity Blue and White was the early name and identity of the college football team that later became known as the Duke Blue Devils.
E811839 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: Trinity Blue and White | Statement: [Duke Blue Devils football team, formerName, Trinity Blue and White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinity Blue and White
Context triple: [Duke Blue Devils football team, formerName, Trinity Blue and White]
  • A. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • B. Camel Blue
    Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • 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. French Blue
    French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
  • E. Stella Blue
    Stella Blue is a reflective, blues-tinged ballad by the Grateful Dead, known for its melancholic lyrics and soulful, slow-tempo arrangement.
  • 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: Trinity Blue and White
Triple: [Duke Blue Devils football team, formerName, Trinity Blue and White]
Generated description
Trinity Blue and White was the early name and identity of the college football team that later became known as the Duke Blue Devils.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trinity Blue and White
Target entity description: Trinity Blue and White was the early name and identity of the college football team that later became known as the Duke Blue Devils.
  • A. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • B. Camel Blue
    Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
  • 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. French Blue
    French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
  • E. Stella Blue
    Stella Blue is a reflective, blues-tinged ballad by the Grateful Dead, known for its melancholic lyrics and soulful, slow-tempo arrangement.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826780fc81909c418e82bd94c581 completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d1836d683081908bccf970e4b0980b completed April 4, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_69d18412c4a08190bce431235e1102fc completed April 4, 2026, 9:35 p.m.
Created at: March 30, 2026, 8:13 p.m.