Triple

T10694615
Position Surface form Disambiguated ID Type / Status
Subject David Horsey E252101 entity
Predicate name P16 FINISHED
Object David Horsey E252101 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: David Horsey | Statement: [David Horsey, name, David Horsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Horsey
Context triple: [David Horsey, name, David Horsey]
  • A. David Horsey chosen
    David Horsey is an American political cartoonist and commentator renowned for his incisive editorial cartoons and multiple Pulitzer Prize-winning work.
  • B. David Hoselton
    David Hoselton is a television writer and producer best known for his work on medical dramas such as "The Good Doctor."
  • C. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Douglas Heyes
    Douglas Heyes was an American television and film writer, director, and producer known for his work on classic series such as The Twilight Zone and numerous TV movies and miniseries.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb07626988190a46d8a54eda156f5 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:11 p.m.