Triple

T8782237
Position Surface form Disambiguated ID Type / Status
Subject Mike Epps E208757 entity
Predicate notableWork P4 FINISHED
Object Sparkle (2012 film) E239090 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 (2012 film) | Statement: [Mike Epps, notableWork, Sparkle (2012 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparkle (2012 film)
Context triple: [Mike Epps, notableWork, Sparkle (2012 film)]
  • A. Sparkle (2012 film) chosen
    Sparkle (2012 film) is a 2012 musical drama remake of the 1976 film, following three singing sisters in 1960s Detroit as they navigate the challenges of fame, family, and the music industry.
  • 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. Sparkle and Spin
    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.
  • E. film "Glitter"
    "Glitter" is a 2001 musical drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51e9d97c8190a947848fdaa5b67d completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.