Triple

T15297183
Position Surface form Disambiguated ID Type / Status
Subject Extraction (2015 film) E365689 entity
Predicate portrayedBy P1507 FINISHED
Object Victoria – 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: Victoria – Gina Carano | Statement: [Extraction (2015 film), portrayedBy, Victoria – Gina Carano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria – Gina Carano
Context triple: [Extraction (2015 film), portrayedBy, Victoria – 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. Victory Woods
    Victory Woods is a historically significant wooded area in New York associated with the final stages of the 1777 Saratoga Campaign during the American Revolutionary War.
  • C. Ava Champion
    Ava Champion is the daughter of Will Champion, the drummer of the British rock band Coldplay.
  • D. Katjana Ballantyne
    Katjana Ballantyne is an American politician who serves as the mayor of Somerville, Massachusetts.
  • E. Kara Vallow
    Kara Vallow is an American television producer best known for her work on animated series such as Family Guy and its related projects.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.