Triple

T17876427
Position Surface form Disambiguated ID Type / Status
Subject Binky Barnes E446965 entity
Predicate givenName P17 FINISHED
Object Shelley 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: Shelley | Statement: [Binky Barnes, givenName, Shelley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelley
Context triple: [Binky Barnes, givenName, Shelley]
  • A. Shelley
    Shelley is a village in West Yorkshire, England, known for its rural setting and proximity to other small communities like Skelmanthorpe.
  • B. Shelley
    Shelley is the surname of Mary Shelley, the English novelist best known as the author of the Gothic classic "Frankenstein."
  • C. Shelley
    Shelley is a key supporting character in the psychological thriller film "Don't Worry Darling," portrayed as the elegant yet enigmatic wife of the community's leader.
  • D. Shelley
    Shelley is a small village in Suffolk, England, situated within the scenic Dedham Vale countryside.
  • E. Shelley chosen
    Shelley is a feminine given name most famously borne by American actress Shelley Duvall, known for her distinctive roles in 1970s and 1980s films.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.