Triple

T9650150
Position Surface form Disambiguated ID Type / Status
Subject Duke Blue Devils football team E233309 entity
Predicate fightSong P4835 FINISHED
Object Blue and White E811839 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: Blue and White | Statement: [Duke Blue Devils football team, fightSong, Blue and White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue and White
Context triple: [Duke Blue Devils football team, fightSong, 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. Trinity Blue and White chosen
    Trinity Blue and White was the early name and identity of the college football team that later became known as the Duke Blue Devils.
  • C. The White-Blues
    The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
  • D. Orange and Blue
    Orange and Blue is the popular nickname for FC Cincinnati, highlighting the club’s distinctive team colors and identity.
  • E. The White and Blues
    The White and Blues is the nickname of KF Tirana, one of Albania’s most successful and historically significant football clubs.
  • 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_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_69d18a03438c8190a3419cbed7af4cd4 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:13 p.m.