Triple

T5160564
Position Surface form Disambiguated ID Type / Status
Subject Tej Parker E116424 entity
Predicate friendOf P8712 FINISHED
Object Brian O'Conner E269523 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: Brian O'Conner | Statement: [Tej Parker, friendOf, Brian O'Conner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian O'Conner
Context triple: [Tej Parker, friendOf, Brian O'Conner]
  • A. Brian O'Conner chosen
    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.
  • 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. Mia Toretto
    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.
  • D. John Matrix
    John Matrix is the tough, resourceful former Special Forces colonel portrayed by Arnold Schwarzenegger in the 1985 action film "Commando."
  • E. Carlito
    Carlito is a diminutive form of the Spanish given name Carlos, often used as an affectionate nickname.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07283c08190a8fc23d3041275ee completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:44 p.m.