Triple

T19521132
Position Surface form Disambiguated ID Type / Status
Subject Dora and the Lost City of Gold E488402 entity
Predicate mainCharacter P1183 FINISHED
Object Alejandro Gutierrez NE NERFINISHED

How this triple was built (3 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: Alejandro Gutierrez | Statement: [Dora and the Lost City of Gold, mainCharacter, Alejandro Gutierrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejandro Gutierrez
Context triple: [Dora and the Lost City of Gold, mainCharacter, Alejandro Gutierrez]
  • A. Jorge Gutiérrez
    Jorge Gutiérrez is a Mexican professional basketball player and former standout guard for the University of California, Berkeley, who went on to play in the NBA and internationally.
  • B. Federico Landeros
    Federico Landeros is a film editor best known for his work on Alejandro Jodorowsky’s influential avant-garde Western "El Topo."
  • C. Alejandro Peña
    Alejandro Peña is a former Major League Baseball relief pitcher best known for his key role in the Atlanta Braves’ early-1990s success, including earning the win in Game 1 of the 1990 World Series.
  • D. Pablo Galindo
    Pablo Galindo is a Python core developer and software engineer known for his work on the language’s internals, including co-authoring structural pattern matching (PEP 634) and contributing extensively to CPython.
  • E. Javier Arellano
    Javier Arellano is a notable individual who shares the Arellano surname and has gained recognition significant enough to be specifically cited as a prominent bearer of the name.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alejandro Gutierrez
Target entity description: Alejandro Gutierrez is a key character in the live-action adventure film "Dora and the Lost City of Gold," serving as one of Dora’s companions on her jungle quest.
  • A. Jorge Gutiérrez
    Jorge Gutiérrez is a Mexican professional basketball player and former standout guard for the University of California, Berkeley, who went on to play in the NBA and internationally.
  • B. Federico Landeros
    Federico Landeros is a film editor best known for his work on Alejandro Jodorowsky’s influential avant-garde Western "El Topo."
  • C. Alejandro Peña
    Alejandro Peña is a former Major League Baseball relief pitcher best known for his key role in the Atlanta Braves’ early-1990s success, including earning the win in Game 1 of the 1990 World Series.
  • D. Pablo Galindo
    Pablo Galindo is a Python core developer and software engineer known for his work on the language’s internals, including co-authoring structural pattern matching (PEP 634) and contributing extensively to CPython.
  • E. Javier Arellano
    Javier Arellano is a notable individual who shares the Arellano surname and has gained recognition significant enough to be specifically cited as a prominent bearer of the name.
  • F. None of above. chosen

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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.