Triple

T14116146
Position Surface form Disambiguated ID Type / Status
Subject Jesús López-Cobos E339781 entity
Predicate givenName P17 FINISHED
Object Jesús E614078 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: Jesús | Statement: [Jesús López-Cobos, givenName, Jesús]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesús
Context triple: [Jesús López-Cobos, givenName, Jesús]
  • A. Jesús chosen
    Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
  • B. Jesus Christ
    Jesus Christ is believed by Christians to be the incarnate Son of God and the Savior of humanity whose life, death, and resurrection are the foundation of the Christian faith.
  • C. Jesus
    Jesus is the central figure of Christianity, believed by Christians to be the Son of God and the Messiah whose life and teachings form the foundation of the Christian faith.
  • D. Jesús María
    Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
  • E. Jesús María
    Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e04184819081633f9cfc0ccab9 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.