Triple

T5294156
Position Surface form Disambiguated ID Type / Status
Subject American Society of Cinematographers E119812 entity
Predicate foundedBy P104 FINISHED
Object Sidney Wagner E381131 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: Sidney Wagner | Statement: [American Society of Cinematographers, foundedBy, Sidney Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Wagner
Context triple: [American Society of Cinematographers, foundedBy, Sidney Wagner]
  • A. Sidney Wagner chosen
    Sidney Wagner was an American cinematographer known for his work on classic Hollywood films, including the 1946 adaptation of "The Yearling."
  • B. Richard E. Wagner
    Richard E. Wagner is an American economist known for his work in public finance and public choice theory, and for his collaborations with James M. Buchanan.
  • C. Karl Schaefer
    Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
  • D. Walter Wolfrum
    Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • E. Walter Scharf
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84f034f081908027a43120b6e122 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bb8b5481908f02d08594cc2e1f completed March 22, 2026, 8 a.m.
Created at: March 20, 2026, 1:52 p.m.