Triple

T3649609
Position Surface form Disambiguated ID Type / Status
Subject Margaret Stewart E77386 entity
Predicate spouse P13 FINISHED
Object John Knox E11495 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: John Knox | Statement: [Margaret Stewart, spouse, John Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Knox
Context triple: [Margaret Stewart, spouse, John Knox]
  • A. John Knox chosen
    John Knox was a 16th-century Scottish Reformer and fiery preacher who led the establishment of Presbyterianism in Scotland and became one of the most influential figures of the Protestant Reformation.
  • B. John P. Knox
    John P. Knox was a 19th-century American Presbyterian minister and author known for his religious writings and sermons.
  • C. John W. Knox
    John W. Knox is an individual notable enough to be specifically cited as a bearer of the surname Knox, though detailed public information about his life or achievements is limited.
  • D. John V. Knox
    John V. Knox is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Knox.
  • E. John H. Knox
    John H. Knox is an American legal scholar and former UN Special Rapporteur on human rights and the environment, known for his work advancing environmental human rights protections worldwide.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde0425081909ca15dba0bcc3fc4 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:24 p.m.