Triple

T22091382
Position Surface form Disambiguated ID Type / Status
Subject Pretty Woman: The Musical (Broadway) E545920 entity
Predicate originalBroadwayCastMember P4737 FINISHED
Object Orfeh 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: Orfeh | Statement: [Pretty Woman: The Musical (Broadway), originalBroadwayCastMember, Orfeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orfeh
Context triple: [Pretty Woman: The Musical (Broadway), originalBroadwayCastMember, Orfeh]
  • A. Orfeh chosen
    Orfeh is a Tony-nominated American singer and actress best known for her powerhouse vocals and standout performances in Broadway musicals.
  • B. Odeya Rush
    Odeya Rush is an Israeli-American actress and model known for her roles in films such as "The Giver," "Goosebumps," and "Lady Bird."
  • C. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • D. Freny Elavia
    Freny Elavia is the wife of acclaimed Indian-born Canadian novelist Rohinton Mistry.
  • E. Damia
    Damia is a science fiction novel by Anne McCaffrey, part of her Tower and the Hive series that continues the story of powerful telepaths and their role in human and alien relations.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.