Triple

T13634601
Position Surface form Disambiguated ID Type / Status
Subject Edward Daniels E325814 entity
Predicate spouse P13 FINISHED
Object Dolores Chanal E294328 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: Dolores Chanal | Statement: [Edward Daniels, spouse, Dolores Chanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolores Chanal
Context triple: [Edward Daniels, spouse, Dolores Chanal]
  • A. Dolores Chanal chosen
    Dolores Chanal is a pivotal, psychologically significant figure in the film "Shutter Island," central to the protagonist’s emotional and mental unraveling.
  • B. Maria Conchita Alonso
    Maria Conchita Alonso is a Cuban-Venezuelan actress and singer known for her work in both Latin American and Hollywood films and television.
  • C. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
  • D. Dolores Benedict
    Dolores Benedict is a central comedic character in the 1983 Steve Martin film "The Man with Two Brains," known for her manipulative and gold-digging behavior.
  • E. Myrna Dell
    Myrna Dell was an American film and television actress known for her roles in 1940s and 1950s Hollywood productions, particularly in film noir and B-movies.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.