Triple

T10579723
Position Surface form Disambiguated ID Type / Status
Subject Rip It Up E249704 entity
Predicate writer P1360 FINISHED
Object John Marascalco E943998 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: John Marascalco | Statement: [Rip It Up, writer, John Marascalco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Marascalco
Context triple: [Rip It Up, writer, John Marascalco]
  • A. John Marascalco chosen
    John Marascalco is an American songwriter best known for co-writing several early rock and roll hits, including classics recorded by Little Richard.
  • B. Joe Corallo
    Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
  • C. Anthony Marentino
    Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
  • D. Marc Iacona
    Marc Iacona is an American arts executive and co-founder of the Rochester International Jazz Festival, known for his role in developing it into a major jazz event.
  • E. Joe Pasquale
    Joe Pasquale is a British comedian and television personality known for his high-pitched voice, stand-up comedy, and appearances on various UK entertainment shows.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52759faa4819081c195488803ada9 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08ec96fe88190b791e6f50f39173f completed April 28, 2026, 10:41 a.m.
Created at: April 6, 2026, 12:38 p.m.