Triple

T2401238
Position Surface form Disambiguated ID Type / Status
Subject Mosaic 4 E47772 entity
Predicate loyaltyProgramName P37953 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 4, loyaltyProgramName, TrueBlue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TrueBlue
Context triple: [Mosaic 4, loyaltyProgramName, 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: loyaltyProgramName
Context triple: [Mosaic 4, loyaltyProgramName, TrueBlue]
  • A. loyaltyProgramType
    Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
  • B. loyaltyProgramTierOf
    Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
  • C. agencyProgramName
    Indicates the specific program or initiative name associated with or administered by an agency.
  • D. allianceProgram
    Indicates a formal cooperative relationship or partnership established between entities under a shared alliance framework or program.
  • E. loyaltyProgramEarnings
    Indicates the amount or details of rewards or benefits a participant accrues within a loyalty or rewards program.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8caf12c8190b1482b9bc7bf9606 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69abc5a3825c81909ec6111dfc165453 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc664317c8190a6bb5a5065c21bde completed March 7, 2026, 6:32 a.m.
Created at: March 4, 2026, 7:57 p.m.