Triple

T6017704
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn E133987 entity
Predicate hasBoroughPresident P8977 FINISHED
Object Antonio Reynoso E300526 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: Antonio Reynoso | Statement: [Brooklyn, hasBoroughPresident, Antonio Reynoso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Reynoso
Context triple: [Brooklyn, hasBoroughPresident, Antonio Reynoso]
  • A. Antonio Reynoso chosen
    Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
  • B. Vicente Suárez
    Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
  • C. Francisco Estévez
    Francisco Estévez is the birth name of American actor Martin Sheen, known for his extensive film and television career including roles in "Apocalypse Now" and "The West Wing."
  • D. Eliseo González
    Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
  • E. Manuel Serrano
    Manuel Serrano is a computer scientist and software engineer best known for creating and maintaining the Bigloo Scheme compiler and contributing to programming language implementation and web programming tools.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8458588190a78aa32cbdbecfb1 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70adafa888190be606aba83a50302 completed March 27, 2026, 10:55 p.m.
Created at: March 22, 2026, 4:07 p.m.