Triple

T2077972
Position Surface form Disambiguated ID Type / Status
Subject Stephen S. Wise E44972 entity
Predicate familyName P18 FINISHED
Object Wise E118203 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: Wise | Statement: [Stephen S. Wise, familyName, Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wise
Context triple: [Stephen S. Wise, familyName, Wise]
  • A. Wise
    Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
  • B. Wise chosen
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • C. 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.
  • D. Wits
    Wits is a major South African public research university based in Johannesburg, renowned for its strong academic programs and historical role in social and political activism.
  • E. Wisdom
    Wisdom is a deuterocanonical book of the Old Testament, traditionally attributed to Solomon, that reflects on divine wisdom, justice, and the destiny of the righteous.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba31eef8819081cf7f5334b59fe1 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3056aa0c8190b19d97ac0c3bc31d completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:41 p.m.