Triple

T6546356
Position Surface form Disambiguated ID Type / Status
Subject Harriet Chetwode-Talbot E151017 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Paul Torday E170307 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: Paul Torday | Statement: [Harriet Chetwode-Talbot, basedOnWorkBy, Paul Torday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Torday
Context triple: [Harriet Chetwode-Talbot, basedOnWorkBy, Paul Torday]
  • A. Paul Torday chosen
    Paul Torday was a British novelist best known for his satirical debut novel "Salmon Fishing in the Yemen," which brought him widespread recognition later in life.
  • B. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • C. Douglas Slocombe
    Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
  • D. Paul Edgecombe
    Paul Edgecombe is the central prison guard protagonist of Stephen King’s novel "The Green Mile," whose reflective narration recounts the supernatural and moral events on death row.
  • E. Peter A. Tyrrell
    Peter A. Tyrrell was an American sports executive and promoter best known for his role in establishing and developing the early professional basketball franchise that became the Philadelphia Warriors.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54b6d8c819083595375194aee12 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.