Triple

T4859965
Position Surface form Disambiguated ID Type / Status
Subject Montague Francis Ashley-Montagu E108633 entity
Predicate givenName P17 FINISHED
Object Montague E189603 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: Montague | Statement: [Montague Francis Ashley-Montagu, givenName, Montague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montague
Context triple: [Montague Francis Ashley-Montagu, givenName, Montague]
  • A. Montague chosen
    Montague is an English surname historically associated with the noble Montagu family and widely recognized from its use in literature, most notably in Shakespeare’s "Romeo and Juliet."
  • B. Hightown
    Hightown is a coastal village in Merseyside, England, known for its beaches, dunes, and position between Liverpool and Southport.
  • C. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • D. Portchester
    Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
  • E. Rocester
    Rocester is a village in Staffordshire, England, known for its rural setting near the River Dove and its historical roots dating back to Roman times.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5c92148190a314707bdd3ff30f completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf49590819084de6b655f1c8e88 completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.