Triple

T21321800
Position Surface form Disambiguated ID Type / Status
Subject Errol Taggart E525635 entity
Predicate notableWork P4 FINISHED
Object The Phantom of Paris 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: The Phantom of Paris | Statement: [Errol Taggart, notableWork, The Phantom of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Phantom of Paris
Context triple: [Errol Taggart, notableWork, The Phantom of Paris]
  • 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 Phantom of the Opera
    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.
  • C. The Phantom of Manhattan
    The Phantom of Manhattan is a novel by Frederick Forsyth that serves as an unofficial sequel to Gaston Leroux’s The Phantom of the Opera, continuing the story of the Phantom in early 20th-century New York.
  • D. Les Mystères de Paris
    Les Mystères de Paris is a French film adaptation of Eugène Sue’s classic 19th-century serialized novel, known for its melodramatic depiction of Parisian underworld life.
  • E. The Phantom of Liberty
    The Phantom of Liberty is a 1974 surrealist film by Luis Buñuel that satirically subverts social conventions through a series of absurd, loosely connected vignettes.
  • 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: The Phantom of Paris
Target entity description: 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.
  • 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 Phantom of the Opera
    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.
  • C. The Phantom of Manhattan
    The Phantom of Manhattan is a novel by Frederick Forsyth that serves as an unofficial sequel to Gaston Leroux’s The Phantom of the Opera, continuing the story of the Phantom in early 20th-century New York.
  • D. Les Mystères de Paris
    Les Mystères de Paris is a French film adaptation of Eugène Sue’s classic 19th-century serialized novel, known for its melodramatic depiction of Parisian underworld life.
  • E. The Phantom of Liberty
    The Phantom of Liberty is a 1974 surrealist film by Luis Buñuel that satirically subverts social conventions through a series of absurd, loosely connected vignettes.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed2640c8190a81b087e2c49c500 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:40 p.m.