Triple

T14745465
Position Surface form Disambiguated ID Type / Status
Subject Frida E346456 entity
Predicate starring P1507 FINISHED
Object Mía Maestro E748976 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: Mía Maestro | Statement: [Frida, starring, Mía Maestro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mía Maestro
Context triple: [Frida, starring, Mía Maestro]
  • A. Mía Maestro chosen
    Mía Maestro is an Argentine actress and singer known for her roles in films like "Frida" and "The Motorcycle Diaries" and TV series such as "Alias" and "The Strain."
  • B. Milagros
    Milagros is a coastal municipality in the province of Masbate in the Philippines, known for its fishing communities and rural agricultural economy.
  • C. El Maestro
    El Maestro is the nickname of Argentine attacking midfielder Diego Valeri, celebrated for his creativity, vision, and playmaking brilliance, especially during his time with the Portland Timbers in Major League Soccer.
  • D. El Maestro
    El Maestro is the legendary Argentine racing driver Juan Manuel Fangio, widely regarded as one of the greatest Formula One drivers in history.
  • E. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.