Triple

T2135066
Position Surface form Disambiguated ID Type / Status
Subject Mosaic 2 E46630 entity
Predicate programName P9004 FINISHED
Object TrueBlue E7852 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: TrueBlue | Statement: [Mosaic 2, programName, TrueBlue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TrueBlue
Context triple: [Mosaic 2, programName, TrueBlue]
  • A. TrueBlue chosen
    TrueBlue is JetBlue Airways’ frequent flyer loyalty program that rewards members with points for flights and other eligible purchases, redeemable for travel and related benefits.
  • B. Double Blue
    Double Blue is a popular nickname for the Toronto Argonauts of the Canadian Football League, referencing the team’s traditional double-shaded blue color scheme.
  • C. Angel Blue
    Angel Blue is an acclaimed American operatic soprano known for her performances at leading international opera houses and her interpretations of major lyric and spinto roles.
  • D. Big Blue
    Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
  • E. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba34b44819083ed6d93c943439f completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51aa86ec8190acf86ac6b26ce4f1 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.