Triple

T18172856
Position Surface form Disambiguated ID Type / Status
Subject Mary Alice E435074 entity
Predicate notableWork P4 FINISHED
Object Sparkle NE NERFINISHED

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: [Mary Alice, notableWork, Sparkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparkle
Context triple: [Mary Alice, notableWork, 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 Hard
    Sparkle Hard is an indie rock album by Stephen Malkmus that showcases his distinctive songwriting and guitar work with the Jicks.
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56d0a88190af3f407d2a3bb74f completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.