Triple

T7442690
Position Surface form Disambiguated ID Type / Status
Subject Steel (1997 film) E171792 entity
Predicate castMember P1668 FINISHED
Object Charles Napier E300146 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: Charles Napier | Statement: [Steel (1997 film), castMember, Charles Napier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Napier
Context triple: [Steel (1997 film), castMember, Charles Napier]
  • A. Charles Napier
    Charles Napier was a prominent 19th-century British naval officer and admiral known for his service in the Royal Navy during the Napoleonic Wars and later conflicts.
  • B. Charles Napier chosen
    Charles Napier was an American character actor known for his rugged, authoritative roles in action films and television, often portraying military or law-enforcement figures.
  • C. Peter Riddell
    Peter Riddell is a British political journalist and commentator who has held senior roles in public policy analysis, including leading the Institute for Government.
  • D. Campbell Dixon
    Campbell Dixon was a British screenwriter active in the early 20th century, known for adapting literary works for the screen.
  • E. Bill Curbishley
    Bill Curbishley is a British music and film producer and band manager best known for his long-time work with rock bands like The Who and Judas Priest.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8279c9cec8190bde450f845f7d0ea completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.