Triple

T22100707
Position Surface form Disambiguated ID Type / Status
Subject Kind Hearts and Coronets E546164 entity
Predicate editedBy P1954 FINISHED
Object Peter Tanner 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: Peter Tanner | Statement: [Kind Hearts and Coronets, editedBy, Peter Tanner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Tanner
Context triple: [Kind Hearts and Coronets, editedBy, Peter Tanner]
  • A. Peter Tanner chosen
    Peter Tanner was a British film editor known for his work on numerous feature films, including the Vietnam War drama "Hamburger Hill."
  • B. Jack Tanner
    Jack Tanner is the radical, free-thinking protagonist of George Bernard Shaw's play "Man and Superman," known for his iconoclastic views on politics, marriage, and social conventions.
  • C. Peter Scudder
    Peter Scudder is a fictional character, most notably appearing as a key figure in John le Carré’s spy novel "The Little Drummer Girl."
  • D. Peter Turner
    Peter Turner is a British actor and writer best known for his memoir about his relationship with Gloria Grahame, which was adapted into the film "Film Stars Don’t Die in Liverpool."
  • E. David Tanner
    David Tanner is a film and television producer best known for his work on the British drama series "Red, White and Blue."
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.