Triple

T9506029
Position Surface form Disambiguated ID Type / Status
Subject Michele Tafoya E229270 entity
Predicate hasSurname P18 FINISHED
Object Tafoya E229270 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: Tafoya | Statement: [Michele Tafoya, hasSurname, Tafoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tafoya
Context triple: [Michele Tafoya, hasSurname, Tafoya]
  • A. Tafoya chosen
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • B. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • C. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • D. Achiutla
    Achiutla is an important pre-Hispanic Mixtec archaeological and ceremonial center located in the Mixteca Alta region of Oaxaca, Mexico.
  • E. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c09b9f88190b279335b5289defb completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:57 p.m.