Triple

T3332178
Position Surface form Disambiguated ID Type / Status
Subject Sergi López E70056 entity
Predicate notableWork P4 FINISHED
Object Western E274418 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: Western | Statement: [Sergi López, notableWork, Western]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western
Context triple: [Sergi López, notableWork, Western]
  • A. Western
    Western is a Canadian public research university located in London, Ontario, known for its strong programs in business, health sciences, and social sciences.
  • B. Western chosen
    Western is a film genre typically set in the American frontier, featuring cowboys, outlaws, lawmen, and themes of rugged individualism, justice, and survival in a harsh, lawless landscape.
  • C. West
    West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
  • D. West
    West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
  • E. West
    West is the commonly used short form for the NBA’s Western Conference, one of the league’s two main competitive groupings.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a841c608190942e040c14f560d2 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.