Triple

T22131462
Position Surface form Disambiguated ID Type / Status
Subject Prison Sex E546912 entity
Predicate producer P490 FINISHED
Object Sylvia Massy 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: Sylvia Massy | Statement: [Prison Sex, producer, Sylvia Massy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Massy
Context triple: [Prison Sex, producer, Sylvia Massy]
  • A. Sylvia Massy chosen
    Sylvia Massy is an American record producer, engineer, and mixer known for her innovative studio techniques and work with prominent rock and alternative artists.
  • B. Suzanne Ciani
    Suzanne Ciani is an American composer and electronic music pioneer renowned for her innovative work with synthesizers and sound design, particularly in New Age and ambient music.
  • C. Toni Stern
    Toni Stern is an American lyricist best known for co-writing several of Carole King’s classic songs, including major tracks on the landmark album "Tapestry."
  • D. Johnette Howard
    Johnette Howard is an American sports journalist and author known for her insightful writing on athletes and sports culture.
  • E. Lisa Wetton
    Lisa Wetton is known primarily as the wife of the late English bassist and singer John Wetton, associated with bands such as King Crimson and Asia.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12985e3688190917884c6bd487810 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.