Triple

T15251333
Position Surface form Disambiguated ID Type / Status
Subject John the Good E364524 entity
Predicate name P16 FINISHED
Object John the Good E364524 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 the Good | Statement: [John the Good, name, John the Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John the Good
Context triple: [John the Good, name, John the Good]
  • A. John the Good chosen
    John the Good was King John I of Portugal, a 14th–15th century monarch known for consolidating Portuguese independence and initiating the Age of Discoveries.
  • B. John the Good
    John the Good was King John II of France, a 14th-century monarch known for his role in the Hundred Years' War and his capture at the Battle of Poitiers.
  • C. John the Peaceful
    John the Peaceful was John II, Duke of Brabant, a medieval Low Countries ruler noted for his relatively tranquil and conciliatory reign.
  • D. John the Wise
    John the Wise was John V, Duke of Brittany, a powerful 15th-century French noble who strengthened ducal authority and fostered stability in his duchy.
  • E. Leo VI the Wise
    Leo VI the Wise was a Byzantine emperor renowned for his extensive legal reforms, scholarly works, and efforts to strengthen and codify Byzantine law and administration.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.