Triple

T22890819
Position Surface form Disambiguated ID Type / Status
Subject The Shadow Line E568034 entity
Predicate portrayedBy P1507 FINISHED
Object Richard Lintern 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: Richard Lintern | Statement: [The Shadow Line, portrayedBy, Richard Lintern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Lintern
Context triple: [The Shadow Line, portrayedBy, Richard Lintern]
  • A. Richard Lintern chosen
    Richard Lintern is a British actor known for his work in film, television, and theatre, including roles in dramas such as "Page Eight" and the series "Silent Witness."
  • B. Andrew MacRitchie
    Andrew MacRitchie is a film editor known for his work on major feature films, including the James Bond movie "Die Another Day."
  • C. John Brownjohn
    John Brownjohn was a British literary translator and screenwriter known for adapting numerous European works for English-speaking audiences and collaborating on several notable film scripts.
  • D. Robert Lence
    Robert Lence is an American screenwriter and story artist best known for his work on acclaimed animated films such as Disney’s "Beauty and the Beast."
  • E. James Laxton
    James Laxton is an American cinematographer best known for his acclaimed, visually distinctive work on the Oscar-winning film "Moonlight."
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.