Triple

T522982
Position Surface form Disambiguated ID Type / Status
Subject Kanye West E10857 entity
Predicate hasSurname P18 FINISHED
Object West E10857 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: West | Statement: [Kanye West, hasSurname, West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West
Context triple: [Kanye West, hasSurname, West]
  • A. West chosen
    West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
  • B. West
    West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
  • C. West
    West is the commonly used short form for the NBA’s Western Conference, one of the league’s two main competitive groupings.
  • D. western United States
    The western United States is a broad region of the country known for its diverse landscapes, including major mountain ranges, deserts, and Pacific coastline, as well as large urban centers and significant cultural and economic influence.
  • E. Northern
    Northern is a primary regional train operating company in Northern England, running local and commuter rail services across cities such as Manchester, Leeds, and Newcastle.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23dca0c8190b240bb7c9fb8b799 completed March 1, 2026, 9:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.