Triple

T9406910
Position Surface form Disambiguated ID Type / Status
Subject Matthew Parker E226608 entity
Predicate spouse P13 FINISHED
Object Margaret Harlestone E323909 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: Margaret Harlestone | Statement: [Matthew Parker, spouse, Margaret Harlestone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Harlestone
Context triple: [Matthew Parker, spouse, Margaret Harlestone]
  • A. Margaret Harlestone chosen
    Margaret Harlestone was the wife of Matthew Parker, the 16th-century Archbishop of Canterbury and influential English Reformation figure.
  • B. Margaret Beauchamp of Bletsoe
    Margaret Beauchamp of Bletsoe was an English noblewoman of the 15th century, notable as the grandmother of King Henry VII through her daughter Margaret Beaufort.
  • C. Margery
    Margery is a feminine given name of English origin that has been used since the Middle Ages.
  • D. Elizabeth Wyckes
    Elizabeth Wyckes was the wife of Thomas Cromwell, the influential chief minister to King Henry VIII in 16th-century England.
  • E. Margery Spencer
    Margery Spencer was the wife of British politician Hamar Greenwood, 1st Viscount Greenwood, who served as Chief Secretary for Ireland during the Irish War of Independence.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c3fc988190ac34cc9e09f8ebfc completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a0bc9c819089f7c422b4222f8e completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.