Triple

T15027347
Position Surface form Disambiguated ID Type / Status
Subject Leo VI the Wise E378250 entity
Predicate epithet P743 FINISHED
Object the Wise E363013 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: the Wise | Statement: [Leo VI the Wise, epithet, the Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Wise
Context triple: [Leo VI the Wise, epithet, the Wise]
  • A. the Wise
    The Wise is the honorific epithet of Frederick III, Elector of Saxony, renowned for protecting Martin Luther and playing a key role in the early Reformation.
  • B. the Wise chosen
    "The Wise" is an honorific epithet denoting Yaroslav I of Kyiv’s reputation for wisdom and effective rule as a medieval Grand Prince of Kievan Rus'.
  • C. Wisen
    Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • D. Wise
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • E. Wise
    Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.