Triple

T4663942
Position Surface form Disambiguated ID Type / Status
Subject Maresciallo d'Italia E102799 entity
Predicate notableHolder P1918 FINISHED
Object Armando Diaz E135497 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: Armando Diaz | Statement: [Maresciallo d'Italia, notableHolder, Armando Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armando Diaz
Context triple: [Maresciallo d'Italia, notableHolder, Armando Diaz]
  • A. Armando Diaz chosen
    Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
  • B. Silvestre Reyes
    Silvestre Reyes is an American politician and former U.S. Representative from Texas who served as chair of the House Intelligence Committee.
  • C. César Mendoza
    César Mendoza was a Chilean Carabineros general who became a prominent member of the military junta that ruled Chile following the 1973 coup d'état.
  • D. Armando
    Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
  • E. Antonio Moreno
    Antonio Moreno was a Spanish-born American actor prominent in early Hollywood cinema, known for his roles in silent films and later sound productions.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633aeba88190a8329ed022d685b6 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7781d90881908cbf48ec60de3cfc completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:15 p.m.