Triple

T1749063
Position Surface form Disambiguated ID Type / Status
Subject RocknRolla E38397 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: [RocknRolla, editedBy, James Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Herbert
Context triple: [RocknRolla, 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. 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.
  • C. 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."
  • D. Ben Aaronovitch
    Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
  • E. Ken Burrough
    Ken Burrough was an American professional football wide receiver best known for his Pro Bowl career with the Houston Oilers in the 1970s.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e21e58819082943212bd725581 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.