Triple

T22858845
Position Surface form Disambiguated ID Type / Status
Subject Colm Wilkinson E566855 entity
Predicate notableRole P22 FINISHED
Object The Phantom in The Phantom of the Opera (workshop and early productions) — 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 Phantom in The Phantom of the Opera (workshop and early productions) | Statement: [Colm Wilkinson, notableRole, The Phantom in The Phantom of the Opera (workshop and early productions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Phantom in The Phantom of the Opera (workshop and early productions)
Context triple: [Colm Wilkinson, notableRole, The Phantom in The Phantom of the Opera (workshop and early productions)]
  • A. The Phantom of the Opera chosen
    The Phantom of the Opera is a famous gothic novel-turned-musical about a mysterious, disfigured musical genius who haunts a grand Paris opera house and becomes obsessively infatuated with a young soprano.
  • B. The Phantom of the Opera (title song)
    "The Phantom of the Opera" is the iconic, gothic rock-infused duet from Andrew Lloyd Webber’s musical, sung by the Phantom and Christine as he lures her into his subterranean lair.
  • C. Fantom Opera
    Fantom Opera is a high-performance, EVM-compatible blockchain network designed for fast, low-cost smart contract execution and decentralized applications.
  • D. The Phantom of Paris
    The Phantom of Paris is a 1931 American pre-Code mystery film, based on a Gaston Leroux story, about a magician who becomes entangled in a murder case.
  • E. The Hunchback of Notre Dame (stage musical)
    The Hunchback of Notre Dame is a stage musical adaptation of the Disney animated film and Victor Hugo’s novel, featuring a darkly dramatic score by Alan Menken and Stephen Schwartz and a more mature, faithful retelling of the original story.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebf1838819092b2b99205a2192f completed April 29, 2026, 3:45 a.m.
Created at: April 17, 2026, 3:37 p.m.