Triple

T19995300
Position Surface form Disambiguated ID Type / Status
Subject Gillian Lynne E494176 entity
Predicate directed P7373 FINISHED
Object The Phantom of the Opera (various 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 of the Opera (various productions) | Statement: [Gillian Lynne, directed, The Phantom of the Opera (various productions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Phantom of the Opera (various productions)
Context triple: [Gillian Lynne, directed, The Phantom of the Opera (various 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 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.
  • 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 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.
  • E. Sweeney Todd (stage production)
    Sweeney Todd is a dark, critically acclaimed stage musical—most famously composed by Stephen Sondheim—that tells the macabre story of a vengeful barber in Victorian London.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.