Triple

T11747202
Position Surface form Disambiguated ID Type / Status
Subject John Dryden Kuser E279314 entity
Predicate hasName P744 FINISHED
Object John Dryden Kuser E58056 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: John Dryden Kuser | Statement: [John Dryden Kuser, hasName, John Dryden Kuser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Dryden Kuser
Context triple: [John Dryden Kuser, hasName, John Dryden Kuser]
  • A. John Dryden Kuser chosen
    John Dryden Kuser was an American politician and socialite from a prominent New Jersey family, known in part for his brief and troubled early marriage to philanthropist Brooke Astor.
  • B. Mr. Dryden
    Mr. Dryden is a British government official in the film "Lawrence of Arabia" who helps orchestrate T.E. Lawrence’s assignment in the Arab Revolt.
  • C. John F. Dryden
    John F. Dryden was an American businessman and politician who pioneered industrial life insurance in the United States and served as a U.S. Senator from New Jersey.
  • D. Dryden
    Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
  • E. Dryden
    Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280d8f604819095823c3650adbad7 completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:41 p.m.