Triple

T22821798
Position Surface form Disambiguated ID Type / Status
Subject Gar Samuelson E565250 entity
Predicate associatedAct P37 FINISHED
Object Fatal Opera NE NERFINISHED

How this triple was built (3 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: Fatal Opera | Statement: [Gar Samuelson, associatedAct, Fatal Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatal Opera
Context triple: [Gar Samuelson, associatedAct, Fatal Opera]
  • A. Fantom Opera
    Fantom Opera is a high-performance, EVM-compatible blockchain network designed for fast, low-cost smart contract execution and decentralized applications.
  • B. The Doom of the Haunted Opera
    The Doom of the Haunted Opera is a young adult horror-mystery novel in the Lewis Barnavelt series, featuring supernatural events surrounding a cursed opera house.
  • C. The Villains’ Opera
    The Villains’ Opera is a modern stage adaptation of John Gay’s "The Beggar’s Opera," written by British playwright Nick Dear and set in contemporary London.
  • D. Deadly Theatre
    Deadly Theatre is a concept from Peter Brook’s influential theatre theory that criticizes lifeless, conventional stage productions that lack immediacy and genuine engagement with the audience.
  • E. Fatal Blows
    Fatal Blows are powerful, cinematic super attacks in Mortal Kombat 11 that trigger under low health to deal massive damage and potentially turn the tide of a match.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fatal Opera
Target entity description: Fatal Opera was a progressive/technical metal band formed by former Megadeth drummer Gar Samuelson, known for its complex musicianship and experimental approach.
  • A. Fantom Opera
    Fantom Opera is a high-performance, EVM-compatible blockchain network designed for fast, low-cost smart contract execution and decentralized applications.
  • B. The Doom of the Haunted Opera
    The Doom of the Haunted Opera is a young adult horror-mystery novel in the Lewis Barnavelt series, featuring supernatural events surrounding a cursed opera house.
  • C. The Villains’ Opera
    The Villains’ Opera is a modern stage adaptation of John Gay’s "The Beggar’s Opera," written by British playwright Nick Dear and set in contemporary London.
  • D. Deadly Theatre
    Deadly Theatre is a concept from Peter Brook’s influential theatre theory that criticizes lifeless, conventional stage productions that lack immediacy and genuine engagement with the audience.
  • E. Fatal Blows
    Fatal Blows are powerful, cinematic super attacks in Mortal Kombat 11 that trigger under low health to deal massive damage and potentially turn the tide of a match.
  • F. None of above. chosen

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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd11b048190869c0c8a0e3095d7 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.