Triple

T4745396
Position Surface form Disambiguated ID Type / Status
Subject Milton Avery E105350 entity
Predicate givenName P17 FINISHED
Object Milton E326108 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: Milton | Statement: [Milton Avery, givenName, Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milton
Context triple: [Milton Avery, givenName, Milton]
  • A. Milton
    Milton is a common English surname most famously borne by the 17th-century poet John Milton, author of "Paradise Lost."
  • B. Milton
    Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
  • C. Milton
    Milton is a village and civil parish just north of Cambridge in South Cambridgeshire, England, known for its proximity to the city and the nearby Cambridge Science Park.
  • D. Milton
    Milton is the given first name of the influential American artist Robert Rauschenberg, known for his pioneering work in mixed-media and pop art.
  • E. Milton chosen
    Milton is a masculine given name of Old English origin meaning "mill town" that has been borne by numerous notable figures across arts, politics, and academia.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ab946481909eccdb3e8c5d1f6a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a37a77881909d32027f1ada99c5 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.