Triple

T8767910
Position Surface form Disambiguated ID Type / Status
Subject The Betrothed E208381 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Eveline Berenger E756710 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: Eveline Berenger | Statement: [The Betrothed, hasTitleCharacter, Eveline Berenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eveline Berenger
Context triple: [The Betrothed, hasTitleCharacter, Eveline Berenger]
  • A. Eveline Berenger chosen
    Eveline Berenger is the heroine of Sir Walter Scott’s historical novel "The Betrothed," set during the time of the Crusades.
  • 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. Eulalie Jensen Bergère
    Eulalie Jensen Bergère, better known professionally as Ouida Bergère, was a prominent early 20th-century American screenwriter and actress associated with silent films.
  • D. Renée Hartmann
    Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
  • E. Hilde Benjamin
    Hilde Benjamin was a prominent East German jurist and politician, notorious as a hardline judge and later Minister of Justice in the German Democratic Republic.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eeae70c8190adc2bc2846da0fbf completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f1bf97c8190a158a38bd2babb83 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:41 p.m.