Triple

T5193427
Position Surface form Disambiguated ID Type / Status
Subject Furious 7 E117210 entity
Predicate featuresCharacter P626 FINISHED
Object Mia Toretto E272612 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: Mia Toretto | Statement: [Furious 7, featuresCharacter, Mia Toretto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Toretto
Context triple: [Furious 7, featuresCharacter, Mia Toretto]
  • A. Mia Toretto chosen
    Mia Toretto is a central character in the Fast & Furious franchise, known as Dominic Toretto’s sister and Brian O’Conner’s love interest who often serves as the emotional core of the crew.
  • B. Dominic Toretto
    Dominic Toretto is a street-racing ex-convict turned elite heist leader and fiercely loyal patriarch who serves as the central protagonist of the Fast & Furious film franchise.
  • C. Brian O'Conner
    Brian O'Conner is a central protagonist in the Fast & Furious franchise, portrayed as an undercover cop-turned-street racer and loyal member of Dominic Toretto's crew.
  • D. Karsen Liotta
    Karsen Liotta is an American actress and model, best known as the daughter of the late actor Ray Liotta.
  • E. Jett Lucas
    Jett Lucas is the adopted son of filmmaker George Lucas, known for his occasional appearances in the Star Wars prequel films and involvement in related media.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4110cbbc8190858ad55ac501a034 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 1:46 p.m.