Triple

T11613955
Position Surface form Disambiguated ID Type / Status
Subject The Little American E275456 entity
Predicate cinematographyBy P1953 FINISHED
Object Alvin Wyckoff E123063 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: Alvin Wyckoff | Statement: [The Little American, cinematographyBy, Alvin Wyckoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvin Wyckoff
Context triple: [The Little American, cinematographyBy, Alvin Wyckoff]
  • A. Alvin Wyckoff chosen
    Alvin Wyckoff was an American cinematographer of the silent film era, known for his innovative camera work on numerous early Hollywood productions.
  • B. Harry Leon Wycoff
    Harry Leon Wycoff was the birth name of American character actor Leon Ames, known for his numerous film and television roles from the 1930s through the 1980s.
  • C. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • D. Harry T. Morey
    Harry T. Morey was an American silent film actor prominent in the early 20th century, known for his leading roles in numerous dramas and adventure films.
  • E. Alvin Marks
    Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee872ee03481908a9d779a44ec5236 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.