Triple

T14658697
Position Surface form Disambiguated ID Type / Status
Subject How Will the Wolf Survive? E344177 entity
Predicate contributingMusician P30214 FINISHED
Object Cesar Rosas E422793 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: Cesar Rosas | Statement: [How Will the Wolf Survive?, contributingMusician, Cesar Rosas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cesar Rosas
Context triple: [How Will the Wolf Survive?, contributingMusician, Cesar Rosas]
  • A. Cesar Rosas chosen
    Cesar Rosas is a Mexican-American musician best known as a vocalist and guitarist for the Grammy-winning rock band Los Lobos.
  • B. César Mendoza
    César Mendoza was a Chilean Carabineros general who became a prominent member of the military junta that ruled Chile following the 1973 coup d'état.
  • C. Cesar Castillo
    Cesar Castillo is a charismatic Cuban musician and one of the central brothers in Oscar Hijuelos’s novel *The Mambo Kings Play Songs of Love*, which inspired the film *The Mambo Kings*.
  • D. Juan Carlos Medina
    Juan Carlos Medina is a film director best known for his work on the Gothic horror thriller "The Limehouse Golem."
  • E. César González
    César González is an actor best known for his role in the comedy film "Nacho Libre."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c405ecc81909722377a22db84a5 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 1:27 a.m.