Triple

T19048616
Position Surface form Disambiguated ID Type / Status
Subject Nan Goldin E466199 entity
Predicate notableWork P4 FINISHED
Object The Other Side — 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: The Other Side | Statement: [Nan Goldin, notableWork, The Other Side]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Other Side
Context triple: [Nan Goldin, notableWork, The Other Side]
  • A. The Other Side
    The Other Side is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the lives and challenges of children affected by parental incarceration.
  • B. The Other Side
    "The Other Side" is a 2016 American documentary film by Roberto Minervini that portrays the lives of marginalized communities in the rural American South.
  • C. The Other Side chosen
    The Other Side is a photographic series and book by Nan Goldin that intimately documents the lives and experiences of her transgender friends and drag queens in New York’s underground scene.
  • D. The Other Side
    "The Other Side" is a song by the American experimental rock band Faceless.
  • E. The Other Side
    "The Other Side" is a song by R&B artist Chxrry22 that showcases her atmospheric production and emotionally charged, introspective lyrics.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8062ea481908cf3fcb790a74956 completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.