Triple

T19500017
Position Surface form Disambiguated ID Type / Status
Subject Milton, Georgia E487877 entity
Predicate namedAfter P63 FINISHED
Object John Milton — NE NERFINISHED

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 Milton | Statement: [Milton, Georgia, namedAfter, John Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Milton
Context triple: [Milton, Georgia, namedAfter, John Milton]
  • A. John Milton
    John Milton was a 17th-century English poet and intellectual best known for his epic poem "Paradise Lost" and his influential political and religious writings.
  • B. John Milton chosen
    John Milton was a prominent early 19th-century Georgia politician who served as the state's Secretary of State for over two decades.
  • C. John Milton
    John Milton is the vengeful, hard-driving protagonist of the supernatural action film "Drive Angry," portrayed by Nicolas Cage as an escaped soul on a mission to rescue his granddaughter.
  • D. John Milton Jr.
    John Milton Jr. is the brother of Mary Milton, about whom little else is publicly documented.
  • E. Andrew Marvell
    Andrew Marvell was a 17th-century English metaphysical poet and politician best known for works such as "To His Coy Mistress" and for his role as a Parliamentarian during the English Civil War and Restoration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349462108190bb763b4e03bf000d completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.