Triple

T577826
Position Surface form Disambiguated ID Type / Status
Subject Splash E13794 entity
Predicate cinematographyBy P1953 FINISHED
Object Donald Peterman E97234 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: Donald Peterman | Statement: [Splash, cinematographyBy, Donald Peterman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Peterman
Context triple: [Splash, cinematographyBy, Donald Peterman]
  • A. Donald Peterman chosen
    Donald Peterman was an American cinematographer known for his work on major Hollywood films in the 1980s and 1990s, including visually distinctive science fiction and comedy features.
  • B. Rod Gilbert
    Rod Gilbert was a Canadian Hall of Fame right winger best known as one of the greatest players in New York Rangers history.
  • C. Geoff Petrie
    Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
  • D. Andrew Darwin
    Andrew Darwin is an individual notable for bearing the Darwin surname, historically associated with the famous naturalist Charles Darwin.
  • E. Murray Sueter
    Murray Sueter was a pioneering British naval officer and aviation advocate who played a key role in the early development of naval air power in the United Kingdom.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b69fed88190b5558d4ebd5047a1 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927a25b081909b553fe3a486e84a completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:33 p.m.