Triple

T2059884
Position Surface form Disambiguated ID Type / Status
Subject Mosaic E45766 entity
Predicate loyaltyProgramTierOf P35523 FINISHED
Object TrueBlue E7852 NE FINISHED

How this triple was built (3 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, loyaltyProgramTierOf, TrueBlue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TrueBlue
Context triple: [Mosaic, loyaltyProgramTierOf, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loyaltyProgramTierOf
Context triple: [Mosaic, loyaltyProgramTierOf, TrueBlue]
  • A. membershipLevelAbove
    Indicates that one entity’s membership level is ranked higher or more privileged than another entity’s membership level.
  • B. loyaltyProgramEarnings
    Indicates the amount or details of rewards or benefits a participant accrues within a loyalty or rewards program.
  • C. honorLevel
    Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
  • D. membershipLevelBelow
    Indicates that one entity’s membership level is ranked lower or less privileged than another entity’s membership level.
  • E. sponsorLevel
    Indicates the degree or tier of sponsorship that one entity provides to another.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9cfdac88190b8b7af1bfea6a78e completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2014da048190902b2a23574d34ef completed March 9, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69abb7ad5a7c8190b92575d6053b3fb7 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb92f90a881909a1f10b060132a9e completed March 7, 2026, 5:35 a.m.
Created at: March 4, 2026, 7:40 p.m.