Triple

T4446745
Position Surface form Disambiguated ID Type / Status
Subject Niagara E96306 entity
Predicate cinematographyBy P1953 FINISHED
Object Joseph MacDonald E319655 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: Joseph MacDonald | Statement: [Niagara, cinematographyBy, Joseph MacDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph MacDonald
Context triple: [Niagara, cinematographyBy, Joseph MacDonald]
  • A. Joseph MacDonald chosen
    Joseph MacDonald was an American cinematographer known for his work on numerous classic Hollywood films, particularly in the 1940s and 1950s.
  • B. Robert Fairthorne
    Robert Fairthorne was a British information scientist and mathematician known for his influential work in documentation, information retrieval theory, and the early development of information science as a discipline.
  • C. Philip MacDonald
    Philip MacDonald was a British-born novelist and screenwriter best known for his crime and mystery fiction and his contributions to classic Hollywood films.
  • D. Charles MacDonald
    Charles MacDonald was a distinguished American World War II fighter ace and U.S. Army Air Forces officer known for his combat achievements in the Pacific Theater.
  • E. Walter Connolly
    Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.