Triple

T20254197
Position Surface form Disambiguated ID Type / Status
Subject John Knox (Lantana character) E498640 entity
Predicate name P16 FINISHED
Object John Knox NE NERFINISHED

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: [John Knox (Lantana character), name, John Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Knox
Context triple: [John Knox (Lantana character), name, John Knox]
  • A. John Knox
    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 Knox
    John Knox is a modern biblical scholar known for his influential work on the reconstruction and interpretation of early Christian texts.
  • C. John Knox chosen
    John Knox is a central fictional character named John Knox who serves as the protagonist in the work "Lantana."
  • D. John P. Knox
    John P. Knox was a 19th-century American Presbyterian minister and author known for his religious writings and sermons.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.