Triple

T4423910
Position Surface form Disambiguated ID Type / Status
Subject The Covenant (2023 film) E95164 entity
Predicate editedBy P1954 FINISHED
Object James Herbert E69023 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: James Herbert | Statement: [The Covenant (2023 film), editedBy, James Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Herbert
Context triple: [The Covenant (2023 film), editedBy, James Herbert]
  • A. James Herbert chosen
    James Herbert is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • B. Ramsey Campbell
    Ramsey Campbell is a highly acclaimed British horror and dark fantasy author renowned for his influential short stories and novels that have shaped modern supernatural fiction.
  • C. F. Paul Wilson
    F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
  • D. Paul Le Mat
    Paul Le Mat is an American actor best known for his breakout role as the hot-rodder John Milner in the coming-of-age film "American Graffiti."
  • E. Clifford May
    Clifford May is an American journalist and foreign policy analyst best known as the founder and president of the Foundation for Defense of Democracies.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6374ffbd081908c96847ec2d25cee completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:30 p.m.