Triple

T21947937
Position Surface form Disambiguated ID Type / Status
Subject The Jackal (1997 film) E541981 entity
Predicate basedOnAuthor P2806 FINISHED
Object Frederick Forsyth 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: Frederick Forsyth | Statement: [The Jackal (1997 film), basedOnAuthor, Frederick Forsyth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick Forsyth
Context triple: [The Jackal (1997 film), basedOnAuthor, Frederick Forsyth]
  • A. Frederick Forsyth chosen
    Frederick Forsyth is a British thriller writer renowned for his meticulously researched, politically charged novels such as "The Day of the Jackal."
  • B. Len Deighton
    Len Deighton is a British author and historian best known for his spy novels, including "The IPCRESS File," and his influential works on military history.
  • C. Robert Ludlum
    Robert Ludlum was an American author best known for his fast-paced espionage and thriller novels, including the Jason Bourne series.
  • D. Nelson DeMille
    Nelson DeMille is an American novelist best known for his suspenseful thrillers and crime novels featuring complex plots, military and law-enforcement settings, and sharp, witty dialogue.
  • E. Jeffrey Archer
    Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243a2f788190bd4625fa79888696 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.