Triple

T2588339
Position Surface form Disambiguated ID Type / Status
Subject John Dryden Kuser E58056 entity
Predicate middleName P143 FINISHED
Object Dryden 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: Dryden | Statement: [John Dryden Kuser, middleName, Dryden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dryden
Context triple: [John Dryden Kuser, middleName, Dryden]
  • A. Dryden
    Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
  • B. Dryden
    Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
  • C. John Dryden
    John Dryden was a leading 17th-century English poet, playwright, and critic who became the dominant literary figure of the Restoration era and the first official Poet Laureate of England.
  • D. 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.
  • E. 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.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3fd1d608190a0cf0d12a9e6ce59 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af658782f88190a83a4f7256d6a7b2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.