Triple

T5239297
Position Surface form Disambiguated ID Type / Status
Subject River Hull E118299 entity
Predicate connectedTo P37 FINISHED
Object Beverley Beck E505686 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: Beverley Beck | Statement: [River Hull, connectedTo, Beverley Beck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverley Beck
Context triple: [River Hull, connectedTo, Beverley Beck]
  • A. Beverley Beck chosen
    Beverley Beck is a canalised waterway in East Yorkshire, England, linking the town of Beverley to the River Hull and historically serving as an important route for local trade and transport.
  • B. Beverly Bentley
    Beverly Bentley was an American actress and model known for her work in film and television during the mid-20th century.
  • C. Joan Beck
    Joan Beck was a writer and journalist who collaborated with pioneering anesthesiologist and neonatologist Virginia Apgar on works about childbirth and infant care.
  • D. Jane Beasley
    Jane Beasley is known as the first wife of former General Electric CEO Jack Welch.
  • E. Beverly Barnes
    Beverly Barnes is a fictional character from the television series "The Larry Sanders Show," known as the efficient and sharp-witted assistant to the titular talk-show host.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe65e3048190899a6316dc4c89eb completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:49 p.m.