Triple

T16761272
Position Surface form Disambiguated ID Type / Status
Subject Villista forces E407347 entity
Predicate namedAfter P63 FINISHED
Object Pancho Villa E136051 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: Pancho Villa | Statement: [Villista forces, namedAfter, Pancho Villa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pancho Villa
Context triple: [Villista forces, namedAfter, Pancho Villa]
  • A. Pancho Villa chosen
    Pancho Villa was a famed Mexican revolutionary general and folk hero who played a key role in the Mexican Revolution of the early 20th century.
  • B. Carlos Zapata
    Carlos Zapata is a Venezuelan-American architect known for his innovative, sculptural skyscraper designs and prominent international projects.
  • C. Eufemio Zapata
    Eufemio Zapata was a Mexican revolutionary leader and the brother of Emiliano Zapata, known for his role in the Mexican Revolution.
  • D. Mariano Matamoros
    Mariano Matamoros was a Mexican priest-turned-revolutionary who became one of the most prominent insurgent commanders fighting Spanish rule during the Mexican War of Independence.
  • E. Julio Zapata
    Julio Zapata is one of the two hedonistic teenage protagonists in the Mexican road movie "Y Tu Mamá También," whose journey explores themes of friendship, class, and sexual awakening.
  • 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_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.