Triple

T14822062
Position Surface form Disambiguated ID Type / Status
Subject The Muppets Take Manhattan E348474 entity
Predicate cinematographyBy P1953 FINISHED
Object Robert Paynter E256791 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: Robert Paynter | Statement: [The Muppets Take Manhattan, cinematographyBy, Robert Paynter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Paynter
Context triple: [The Muppets Take Manhattan, cinematographyBy, Robert Paynter]
  • A. Robert Paynter chosen
    Robert Paynter was a British cinematographer known for his work on major films of the 1970s and 1980s, particularly in collaboration with directors like Richard Lester and John Landis.
  • B. Richard Pryce
    Richard Pryce was a British novelist and playwright of the late 19th and early 20th centuries, known for his socially observant fiction and contributions to Victorian and Edwardian literature.
  • C. Philip Pugh
    Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
  • D. Martin Lancaster
    Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
  • E. Robert Payne
    Robert Payne was a British-born writer and biographer known for his numerous works on historical figures and world history.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc7aba08190b2e125b174751a53 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:51 a.m.