Triple

T11339674
Position Surface form Disambiguated ID Type / Status
Subject Fast & Furious 6 E268560 entity
Predicate stars P1956 FINISHED
Object Gina Carano E892524 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: Gina Carano | Statement: [Fast & Furious 6, stars, Gina Carano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Carano
Context triple: [Fast & Furious 6, stars, Gina Carano]
  • A. Gina Carano chosen
    Gina Carano is an American actress and former mixed martial artist best known for her roles in action films and the Star Wars series "The Mandalorian."
  • B. Carlos Condit
    Carlos Condit is an American mixed martial artist and former UFC Interim Welterweight Champion known for his aggressive striking and finishing ability.
  • C. Ronda Rousey
    Ronda Rousey is an American professional wrestler, former mixed martial arts champion, and Olympic judoka who gained fame in the UFC before becoming a top star in WWE.
  • D. Maggie Q
    Maggie Q is an American actress and model best known for her action roles in films like the Mission: Impossible franchise and the TV series Nikita and Designated Survivor.
  • E. Kellita Smith
    Kellita Smith is an American actress and comedian best known for her role as Wanda McCullough on the sitcom "The Bernie Mac Show."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.