Triple

T5431666
Position Surface form Disambiguated ID Type / Status
Subject Pánfilo E121507 entity
Predicate orthographicVariant P33995 FINISHED
Object Panfilo E520270 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: Panfilo | Statement: [Pánfilo, orthographicVariant, Panfilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panfilo
Context triple: [Pánfilo, orthographicVariant, Panfilo]
  • A. Panfilo chosen
    Panfilo is a masculine given name of Spanish and Italian origin, historically borne by various religious figures and characters in literature.
  • B. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • C. Teodoro
    Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
  • D. Benito Tiamzon
    Benito Tiamzon was a prominent Filipino communist leader and revolutionary, long regarded as a key figure in directing the Communist Party of the Philippines and its armed struggle.
  • E. Teofilo
    Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883f982c8190bdf277e1ba85ff7b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487db2bc81908822d3adadaff0dd completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:06 p.m.