Triple

T6821543
Position Surface form Disambiguated ID Type / Status
Subject Kurt Weill E156908 entity
Predicate collaboratedWith P435 FINISHED
Object Ogden Nash E483841 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: Ogden Nash | Statement: [Kurt Weill, collaboratedWith, Ogden Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogden Nash
Context triple: [Kurt Weill, collaboratedWith, Ogden Nash]
  • A. Ogden Nash chosen
    Ogden Nash was an American poet celebrated for his light verse, playful rhymes, and witty observations on everyday life.
  • B. G. G. Berry
    G. G. Berry was a British logician and mathematician best known for formulating the Berry paradox, an influential semantic paradox in the foundations of mathematics and logic.
  • C. Cecil Layendecker
    Cecil Layendecker is a relatively obscure individual known primarily by name, with no widely documented public achievements or biographical details.
  • D. John F. Reyburn
    John F. Reyburn was an American Republican politician who served as a U.S. Representative from Pennsylvania and later as mayor of Philadelphia in the early 20th century.
  • E. Milton Carruth
    Milton Carruth was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1950s.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35a8af08190a172c7baa16a3b62 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723eb23c8819085d2e8a8ce9c3c90 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.