Triple

T3088661
Position Surface form Disambiguated ID Type / Status
Subject For the First Time in Forever: A Frozen Sing-Along Celebration E64433 entity
Predicate hasMerchandiseTieIn P45835 FINISHED
Object yes LITERAL 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: yes | Statement: [For the First Time in Forever: A Frozen Sing-Along Celebration, hasMerchandiseTieIn, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMerchandiseTieIn
Context triple: [For the First Time in Forever: A Frozen Sing-Along Celebration, hasMerchandiseTieIn, yes]
  • A. hasMediaFranchise
    Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
  • B. notableTie
    Indicates a significant connection or association between entities that is noteworthy or distinguished in some context.
  • C. hasCulturalProduct
    Indicates that an entity possesses, produces, or is associated with a cultural artifact, work, or output (such as art, literature, music, or media).
  • D. associatedWithRoyalty
    Indicates a relationship in which an entity has a notable connection to royalty, such as through lineage, service, patronage, or symbolic affiliation.
  • E. hasMarketingCategory
    Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
  • F. None of above. chosen

Provenance (4 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
PDg Predicate description generation batch_69ada0f6fef48190b13898be383a246b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:03 p.m.