Triple

T17852472
Position Surface form Disambiguated ID Type / Status
Subject Jorge Antonio Guerrero E445842 entity
Predicate workedOn P3 FINISHED
Object El elegido NE NERFINISHED

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: El elegido | Statement: [Jorge Antonio Guerrero, workedOn, El elegido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El elegido
Context triple: [Jorge Antonio Guerrero, workedOn, El elegido]
  • A. El elegido chosen
    El elegido is a film featuring Mexican actor Jorge Antonio Guerrero in a prominent role.
  • B. The Chosen One
    The Chosen One is a symbolist painting by Swiss artist Ferdinand Hodler, known for its stylized composition and exploration of destiny and spiritual awakening.
  • C. The Chosen One
    The Chosen One is a film featuring actor George Dzundza in a significant role.
  • D. The Chosen One
    The Chosen One is the prophesied figure in the Star Wars saga destined to bring balance to the Force, a role ultimately fulfilled by Anakin Skywalker.
  • E. The Chosen One
    The Chosen One is the prophesied vampire slayer destined to battle supernatural evil in the Buffy the Vampire Slayer universe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4900113f881908859f212c6ca3d9b completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.