Triple

T21677575
Position Surface form Disambiguated ID Type / Status
Subject Ken E535013 entity
Predicate hasRelative P367 FINISHED
Object Teofilo 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: Teofilo | Statement: [Ken, hasRelative, Teofilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teofilo
Context triple: [Ken, hasRelative, Teofilo]
  • A. Teofilo
    Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
  • B. Teofilo
    Teofilo is an elderly Pueblo man whose death and traditional burial rituals are central to the themes of cultural identity and conflict in Leslie Marmon Silko’s short story "The Man to Send Rain Clouds."
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Pío
    Pío is a Spanish given name most famously borne by Pío Pico, the last governor of Alta California under Mexican rule.
  • E. Epifanio
    Epifanio is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11088081908911af2629f54c1c completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:42 p.m.