Triple

T14726785
Position Surface form Disambiguated ID Type / Status
Subject Robert Sylvester Kelly E345963 entity
Predicate associatedAct P37 FINISHED
Object Sparkle E345996 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 | Statement: [Robert Sylvester Kelly, associatedAct, Sparkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparkle
Context triple: [Robert Sylvester Kelly, associatedAct, Sparkle]
  • A. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • B. Sparkle chosen
    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."
  • C. 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.
  • D. Sparkle and Fade
    Sparkle and Fade is a 1995 alternative rock album by Everclear that brought the band mainstream success with hits like "Santa Monica."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26013c8819090512f8b4df9cc87 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf099eaf48190b89032b6ac769e67 completed May 8, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:29 a.m.