Triple

T22092666
Position Surface form Disambiguated ID Type / Status
Subject Into the Water E545947 entity
Predicate setIn P1393 FINISHED
Object Beckford 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: Beckford | Statement: [Into the Water, setIn, Beckford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beckford
Context triple: [Into the Water, setIn, Beckford]
  • A. Beckford chosen
    Beckford is a surname most prominently associated with American supermodel and actor Tyson Beckford.
  • B. Beaufoy
    Beaufoy was an early 19th-century sealing and exploration vessel commanded by James Weddell during his Antarctic voyages.
  • C. Beaufoy
    Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
  • D. Bagford
    Bagford is a surname most notably associated with John Bagford, an English antiquarian and book collector of the late 17th and early 18th centuries.
  • E. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.