Triple

T16761239
Position Surface form Disambiguated ID Type / Status
Subject Villista forces E407347 entity
Predicate notableCommander P1197 FINISHED
Object Felipe Ángeles E705138 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: Felipe Ángeles | Statement: [Villista forces, notableCommander, Felipe Ángeles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felipe Ángeles
Context triple: [Villista forces, notableCommander, Felipe Ángeles]
  • A. Felipe Ángeles chosen
    Felipe Ángeles was a prominent Mexican military general and revolutionary figure who played a key role during the Mexican Revolution in the early 20th century.
  • B. Felipe Fermín Paúl
    Felipe Fermín Paúl was a Venezuelan statesman and independence leader who helped shape the country’s break from Spanish colonial rule in the early 19th century.
  • C. Felipe Luciano
    Felipe Luciano is an American poet, activist, and media personality best known as a founding member of the Nuyorican movement and an early voice in politically charged spoken-word performance.
  • D. Felipe
    Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
  • E. Diego Serrano
    Diego Serrano is an Ecuadorian-born American actor best known for his roles in television series such as "Time of Your Life" and various daytime soap operas.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abed67f88190afb1d392ff01a5e7 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52d077081908080c61da67e0032 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.