Triple

T22891839
Position Surface form Disambiguated ID Type / Status
Subject Matthew David Cameron E568060 entity
Predicate notableWork P4 FINISHED
Object Down on the Upside 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: Down on the Upside | Statement: [Matthew David Cameron, notableWork, Down on the Upside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Down on the Upside
Context triple: [Matthew David Cameron, notableWork, Down on the Upside]
  • A. Down on the Upside chosen
    Down on the Upside is a 1996 studio album by American rock band Soundgarden that blends heavy alternative rock with more experimental and melodic elements.
  • B. Ups & Downs
    "Ups & Downs" is a hip hop track by Snoop Dogg from his album R&G (Rhythm & Gangsta): The Masterpiece.
  • C. Up the Side
    "Up the Side" is a track from the collaborative hip-hop album "The Voice of the Heroes" by Lil Baby and Lil Durk.
  • D. Ever Upward
    Ever Upward is the official English motto of the U.S. state of New York, expressing a spirit of continual progress and aspiration.
  • E. Up!
    Up! is a 1976 sexploitation comedy film by cult director Russ Meyer, known for its over-the-top eroticism, dark humor, and satirical style.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.