Triple

T9390614
Position Surface form Disambiguated ID Type / Status
Subject Dangerous E226016 entity
Predicate notableSingle P3283 FINISHED
Object In the Closet E682589 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: In the Closet | Statement: [Dangerous, notableSingle, In the Closet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In the Closet
Context triple: [Dangerous, notableSingle, In the Closet]
  • A. In the Closet chosen
    "In the Closet" is a 1992 R&B/New Jack Swing single by Michael Jackson from his album *Dangerous*, noted for its sensual theme and innovative music video.
  • B. Trapped in the Closet
    Trapped in the Closet is a multi-part musical drama series by R. Kelly that tells a convoluted, soap opera–style story entirely through sung narration.
  • C. The Blue Closet
    "The Blue Closet" is a narrative poem by William Morris that blends medieval imagery with dreamlike, enigmatic storytelling.
  • D. In & Out of The Closet
    In & Out of The Closet is a documentary film by Jacob Bernstein that explores LGBTQ+ identity, fashion, and self-expression.
  • E. Closet Monster
    Closet Monster is a 2015 Canadian coming-of-age horror-drama film that blends surreal body horror with a queer teen’s psychological struggle and self-discovery.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510d7a9c8190a74ccdb5478dedc9 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1101e83e8819093fe8d25c819820b completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:45 p.m.