Triple

T10719591
Position Surface form Disambiguated ID Type / Status
Subject Hadleyville E252781 entity
Predicate hasCharacter P2308 FINISHED
Object Helen Ramírez E276168 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: Helen Ramírez | Statement: [Hadleyville, hasCharacter, Helen Ramírez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Ramírez
Context triple: [Hadleyville, hasCharacter, Helen Ramírez]
  • A. Helen Ramírez chosen
    Helen Ramírez is a strong, independent Mexican businesswoman and former lover of the marshal in the classic Western film "High Noon," known for her moral clarity and pivotal influence on the story’s events.
  • B. Helen Hernandez
    Helen Hernandez is a prominent advocate for Latino representation in media and the founder of the Imagen Awards, which honor positive portrayals of Latinos in entertainment.
  • C. Rosa Valenzuela
    Rosa Valenzuela is a notable individual who has contributed to the recognition and prominence of the Valenzuela surname.
  • D. Lola Salazar
    Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
  • E. Paulina del Valle
    Paulina del Valle is a formidable, wealthy Chilean matriarch in Isabel Allende’s fiction, known for her shrewd business sense, strong will, and central role in her family’s multigenerational saga.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff777c63c8190a989d33e8460bc2f completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:13 p.m.