Triple

T15506745
Position Surface form Disambiguated ID Type / Status
Subject Battle of Madrid E379100 entity
Predicate commander P1061 FINISHED
Object Emilio Mola E20408 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: Emilio Mola | Statement: [Battle of Madrid, commander, Emilio Mola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilio Mola
Context triple: [Battle of Madrid, commander, Emilio Mola]
  • A. Emilio Mola chosen
    Emilio Mola was a Spanish Nationalist general and key architect of the military uprising that triggered the Spanish Civil War.
  • B. José Millán-Astray
    José Millán-Astray was a Spanish military officer and prominent nationalist figure best known for creating and shaping the ideology and culture of Spain’s modern Foreign Legion during the early 20th century.
  • C. Sanchez Mira
    Sanchez Mira is a coastal municipality in the province of Cagayan in the Philippines, known for its rural communities and agricultural economy.
  • D. José Calvo
    José Calvo was a Spanish character actor best known internationally for his supporting role as the innkeeper in Sergio Leone’s classic Spaghetti Western "A Fistful of Dollars."
  • E. Fernando Franco
    Fernando Franco is a Spanish film editor and director known for his acclaimed work on feature films such as the silent black-and-white drama "Blancanieves."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.