Triple

T6524364
Position Surface form Disambiguated ID Type / Status
Subject The Response E151264 entity
Predicate designer P184 FINISHED
Object Vernon March E203564 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: Vernon March | Statement: [The Response, designer, Vernon March]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon March
Context triple: [The Response, designer, Vernon March]
  • A. Vernon March chosen
    Vernon March was a British sculptor best known for creating major public monuments and war memorials in the early 20th century.
  • B. Vernon Shaw
    Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
  • C. Vernon Tull
    Vernon Tull is a practical, somewhat opportunistic neighboring farmer in William Faulkner’s novel "As I Lay Dying," often serving as a foil to the Bundren family’s dysfunction.
  • D. Frank Pembleton
    Frank Pembleton is a brilliant, intense, and morally driven homicide detective from the television series "Homicide: Life on the Street."
  • E. Vernon Hartshorn
    Vernon Hartshorn was a prominent Welsh trade unionist and Labour politician who served as a Member of Parliament and held ministerial office in early 20th-century Britain.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7813a788190a25ace732cf4e3d0 completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:45 p.m.