Triple

T18823539
Position Surface form Disambiguated ID Type / Status
Subject Miguel Malvar E460324 entity
Predicate familyName P18 FINISHED
Object Malvar NE NERFINISHED

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: Malvar | Statement: [Miguel Malvar, familyName, Malvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malvar
Context triple: [Miguel Malvar, familyName, Malvar]
  • A. Malvar chosen
    Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
  • B. Malvar
    Malvar is a traditional white grape variety from central Spain, particularly associated with the Madrid region, known for producing fresh, aromatic wines.
  • C. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • D. Mauceri
    Mauceri is an Italian-origin surname most notably associated with conductor and musical scholar John Mauceri.
  • E. Balvín
    Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bce5588190bd0aefcd0c51edad completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.