Triple

T883274
Position Surface form Disambiguated ID Type / Status
Subject Bayard Rustin E19072 entity
Predicate adopted P3017 FINISHED
Object Walter Naegle E221756 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: Walter Naegle | Statement: [Bayard Rustin, adopted, Walter Naegle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Naegle
Context triple: [Bayard Rustin, adopted, Walter Naegle]
  • A. Walter Naegle chosen
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • B. Rudolf Garrels
    Rudolf Garrels was an 18th-century Dutch organ builder known for constructing and maintaining notable church organs in the Netherlands.
  • C. Walter Blume
    Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
  • D. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • E. Robert Lusser
    Robert Lusser was a German aeronautical engineer best known for his key role in designing several important World War II aircraft, including contributions to the Messerschmitt Bf 109.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a910d808190b20150e864ae9bc2 completed March 8, 2026, 11:47 p.m.
Created at: March 1, 2026, 7:39 p.m.