Triple

T16676264
Position Surface form Disambiguated ID Type / Status
Subject The Glove E405221 entity
Predicate hasTrack P3284 FINISHED
Object Orgy E757488 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: Orgy | Statement: [The Glove, hasTrack, Orgy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orgy
Context triple: [The Glove, hasTrack, Orgy]
  • A. Orgy chosen
    Orgy is an American industrial rock band best known for their late-1990s fusion of electronic and metal elements and their hit cover of New Order’s “Blue Monday.”
  • B. The Amazing Sounds of Orgy
    The Amazing Sounds of Orgy is a dark, experimental Radiohead song known for its dense electronic textures and appearance as a B-side during the Kid A/Amnesiac era.
  • C. The Man from O.R.G.Y.
    The Man from O.R.G.Y. is a 1970s sex-comedy spy film known for its campy tone and for featuring Indian actress Persis Khambatta in one of her early screen roles.
  • D. Orgazmo
    Orgazmo is a 1997 satirical comedy film created by Trey Parker that parodies the adult film industry through the story of a Mormon missionary turned reluctant porn star superhero.
  • E. Efter orgiet
    "Efter orgiet" is a provocative literary work by Danish author Suzanne Brøgger that explores themes of sexuality, identity, and societal norms.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.