Triple

T12001190
Position Surface form Disambiguated ID Type / Status
Subject Magdalen Hall, Oxford E285663 entity
Predicate educated P5 FINISHED
Object John Rainolds E214625 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 Rainolds | Statement: [Magdalen Hall, Oxford, educated, John Rainolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Rainolds
Context triple: [Magdalen Hall, Oxford, educated, John Rainolds]
  • A. John Rainolds chosen
    John Rainolds was an influential English Puritan scholar and theologian who played a key role in initiating and shaping the King James Version of the Bible.
  • B. William Rainolds
    William Rainolds was an English Roman Catholic priest and theologian of the late 16th century, known for his involvement in religious controversies during the Reformation era.
  • C. William Reynolds
    William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
  • D. William Reynolds
    William Reynolds was an American film and television actor known for his supporting roles in 1950s melodramas and later for co-starring in the TV series "The F.B.I."
  • E. William Reynolds
    William Reynolds is a film editor known for his work on the 1960 adventure drama "Wild River."
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.