Triple

T16678034
Position Surface form Disambiguated ID Type / Status
Subject Dontchange E405263 entity
Predicate songwriter P1141 FINISHED
Object Ivan Barias E345629 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: Ivan Barias | Statement: [Dontchange, songwriter, Ivan Barias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan Barias
Context triple: [Dontchange, songwriter, Ivan Barias]
  • A. Ivan Barias chosen
    Ivan Barias is an American Grammy-nominated record producer and songwriter known for his work in contemporary R&B and collaborations with artists such as Musiq Soulchild and Jill Scott.
  • B. Ivan Tornos
    Ivan Tornos is a business executive known for serving as chief executive officer of the medical technology company Zimmer Biomet.
  • C. Xavier Loyá
    Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
  • D. Javier Casalla
    Javier Casalla is an Argentine violinist and composer best known as a core member of the neo-tango collective Bajofondo.
  • E. Tomas Arana
    Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009194ad188190aae3371c97abc045 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.