Triple

T15228500
Position Surface form Disambiguated ID Type / Status
Subject General Mariano Alvarez E363937 entity
Predicate namedAfter P63 FINISHED
Object Mariano Álvarez E351703 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: Mariano Álvarez | Statement: [General Mariano Alvarez, namedAfter, Mariano Álvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariano Álvarez
Context triple: [General Mariano Alvarez, namedAfter, Mariano Álvarez]
  • A. Mariano Álvarez chosen
    Mariano Álvarez was a prominent Filipino revolutionary figure who played a key role in organizing and leading resistance against Spanish colonial rule in the late 19th century.
  • B. Eliseo González
    Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
  • C. Eliseo González
    Eliseo González is known as the child of Mexican businesswoman and philanthropist María Eladia Hagerman.
  • D. Alfredo Rojo
    Alfredo Rojo is an individual notable enough to be recognized as a prominent bearer of the surname Rojo.
  • E. Arturo Román
    Arturo Román is a fictional executive and recurring antagonist from the Spanish television series "Money Heist" (La Casa de Papel), known for his cowardly and self-serving behavior during the Royal Mint heist.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014819dfbc8190b39a10647f9ba64c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 3:12 a.m.