Triple

T9322456
Position Surface form Disambiguated ID Type / Status
Subject The Golden Bed E224302 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 Golden Bed, cinematographyBy, Alvin Wyckoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvin Wyckoff
Context triple: [The Golden Bed, 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f466b08190884abdc56501a0d8 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3b5c6488190b2ca4fd546dda82f completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:38 p.m.