Triple

T20661365
Position Surface form Disambiguated ID Type / Status
Subject Christine E507766 entity
Predicate mainCharacter P1183 FINISHED
Object Leigh Cabot 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: Leigh Cabot | Statement: [Christine, mainCharacter, Leigh Cabot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leigh Cabot
Context triple: [Christine, mainCharacter, Leigh Cabot]
  • A. Leigh Cabot chosen
    Leigh Cabot is a central character in the 1983 horror film "Christine," known as the love interest of the protagonist who becomes entangled in the sinister influence of his possessed car.
  • B. Barbara Follett
    Barbara Follett is a British Labour politician and former Member of Parliament who served as a government minister under Prime Minister Gordon Brown.
  • C. Maud Aiken
    Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
  • D. Ethel Pyle
    Ethel Pyle is the daughter of American heiress and socialite Ethel du Pont.
  • E. Muriel Brown
    Muriel Brown is a fictional character in the French film "Two English Girls," which explores a complex romantic relationship between two English sisters and a Frenchman in the early 20th century.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f2ee4081908df9ba897c9dfc98 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.