Triple

T17739281
Position Surface form Disambiguated ID Type / Status
Subject Alejandro Basteri E442809 entity
Predicate givenName P17 FINISHED
Object Alejandro 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: Alejandro | Statement: [Alejandro Basteri, givenName, Alejandro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejandro
Context triple: [Alejandro Basteri, givenName, Alejandro]
  • A. Alejandro chosen
    Alejandro is the Spanish form of the given name Alexander, commonly used in Spanish-speaking countries.
  • B. Alejandro
    "Alejandro" is a pop song produced by RedOne, best known as one of Lady Gaga’s hit singles from her album "The Fame Monster."
  • C. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • D. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • E. Julio
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acb05848190a4b7edb98f15b8c6 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.