Triple

T10753690
Position Surface form Disambiguated ID Type / Status
Subject The Search E253634 entity
Predicate writer P1360 FINISHED
Object Richard Schweizer E826386 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: Richard Schweizer | Statement: [The Search, writer, Richard Schweizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Schweizer
Context triple: [The Search, writer, Richard Schweizer]
  • A. Richard Schweizer chosen
    Richard Schweizer was a Swiss screenwriter renowned for his Academy Award–winning work in mid-20th-century cinema.
  • B. Paul Zorner
    Paul Zorner was a highly successful German Luftwaffe night fighter ace of World War II, credited with numerous aerial victories during nocturnal operations.
  • C. Peter Schweger
    Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
  • D. Roger Wehrli
    Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
  • E. William Schwendler
    William Schwendler was an American aerospace engineer and industrialist best known as a co-founder and longtime leader of the Grumman Aircraft Engineering Corporation, a major U.S. military and civilian aircraft manufacturer.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc2543c8190bb060aa7a1fed6a6 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9033148819095c6e7485c3a73e6 completed April 18, 2026, 3:53 p.m.
Created at: April 8, 2026, 9:15 p.m.