Triple

T10763834
Position Surface form Disambiguated ID Type / Status
Subject PEP 634 E253900 entity
Predicate bdflDelegate P38053 FINISHED
Object Pablo Galindo E945110 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: Pablo Galindo | Statement: [PEP 634, bdflDelegate, Pablo Galindo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pablo Galindo
Context triple: [PEP 634, bdflDelegate, Pablo Galindo]
  • A. Pablo Galindo chosen
    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.
  • B. Guillermo Pulido
    Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
  • C. Pablo Portillo
    Pablo Portillo is a Mexican singer and actor best known as a former member of the Latin pop group MDO and for his roles in telenovelas.
  • D. 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.
  • E. 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.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a504948190943f0e27c0d891ed completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69f12f646ec88190ab4745c52798b599 completed April 28, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:16 p.m.