Triple

T3779825
Position Surface form Disambiguated ID Type / Status
Subject Paul Rand E85389 entity
Predicate illustrated P2761 FINISHED
Object Sparkle and Spin E387723 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: Sparkle and Spin | Statement: [Paul Rand, illustrated, Sparkle and Spin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparkle and Spin
Context triple: [Paul Rand, illustrated, Sparkle and Spin]
  • A. Sparkle and Spin chosen
    Sparkle and Spin is a mid-20th-century children’s picture book known for its playful exploration of words and typography, created by writer Ann Rand with distinctive modernist illustrations.
  • B. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • C. Sparkle
    Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
  • D. One Little Spark
    "One Little Spark" is a whimsical theme song written by the Sherman Brothers for the Journey Into Imagination attraction at Disney parks, celebrating creativity and the character Figment.
  • E. Glitter
    Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3d84d7881909828903896b3cb7f completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503ea77708190ae55cd1892735b22 completed March 14, 2026, 6:44 a.m.
Created at: March 9, 2026, 3:11 p.m.