Triple

T2643050
Position Surface form Disambiguated ID Type / Status
Subject Mistress Quickly E62918 entity
Predicate associatedWith P37 FINISHED
Object Windsor E34732 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: Windsor | Statement: [Mistress Quickly, associatedWith, Windsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor
Context triple: [Mistress Quickly, associatedWith, Windsor]
  • A. Windsor chosen
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • B. Windsor
    Windsor is a small town in northern Colorado known for its rapidly growing residential communities and proximity to major Front Range cities like Fort Collins and Greeley.
  • C. Windsor
    Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
  • D. Buckingham
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • E. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8ff34988190ba9d69ce9d77c71d completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb328a88190b0ef889cbbe3bea3 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:53 p.m.