Triple

T1952926
Position Surface form Disambiguated ID Type / Status
Subject Western Union E42198 entity
Predicate hasCompetitor P1375 FINISHED
Object Wise
Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
 E219214 NE FINISHED

How this triple was built (4 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: [Western Union, hasCompetitor, Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wise
Context triple: [Western Union, hasCompetitor, Wise]
  • A. Wise
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Wisdom
    Wisdom is a common English surname borne by various notable individuals, including the British comedian and actor Norman Wisdom.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wise
Triple: [Western Union, hasCompetitor, Wise]
Generated description
Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wise
Target entity description: Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
  • A. Wise
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Wisdom
    Wisdom is a common English surname borne by various notable individuals, including the British comedian and actor Norman Wisdom.
  • F. None of above. chosen

Provenance (5 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc611fc8190b2f512c744cbc364 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc8efb0c81908bce5a4a13359801 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd8115d481909716e11b943cbf61 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.