Triple

T5135872
Position Surface form Disambiguated ID Type / Status
Subject Emmy Rossum E115817 entity
Predicate role P268 FINISHED
Object Christine Daaé E392206 NE FINISHED

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: Christine Daaé | Statement: [Emmy Rossum, role, Christine Daaé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Daaé
Context triple: [Emmy Rossum, role, Christine Daaé]
  • A. Christine Daaé chosen
    Christine Daaé is the young, gifted Swedish soprano at the heart of Gaston Leroux’s novel and its musical adaptations, whose talent and innocence captivate both the Phantom and Raoul in The Phantom of the Opera.
  • B. Clara Beranger
    Clara Beranger was an American screenwriter of the silent film era, known for her work with Paramount Pictures and her contributions to early Hollywood cinema.
  • C. Modeste Mignon
    Modeste Mignon is an 1844 novel by Honoré de Balzac that portrays the romantic and social awakening of a young provincial woman, forming part of his larger La Comédie humaine cycle.
  • D. Amélie Noellie Parayre
    Amélie Noellie Parayre was the wife and early business manager of French artist Henri Matisse, supporting his career and running his Parisian studio and gallery.
  • E. Élisa Dehée
    Élisa Dehée was a relative of the French poet Paul Verlaine, known primarily through her familial connection to him.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.