Triple

T14942414
Position Surface form Disambiguated ID Type / Status
Subject Eragon E372562 entity
Predicate featuresActor P15562 FINISHED
Object Sienna Guillory E503919 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: Sienna Guillory | Statement: [Eragon, featuresActor, Sienna Guillory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sienna Guillory
Context triple: [Eragon, featuresActor, Sienna Guillory]
  • A. Sienna Guillory chosen
    Sienna Guillory is an English actress best known for her roles in genre films and television, including her portrayal of Jill Valentine in the Resident Evil film series.
  • B. Sienna Warner
    Sienna Warner is one of the children of Brenda Warner, who is known as the wife of former NFL quarterback Kurt Warner.
  • C. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • D. Arielle Kebbel
    Arielle Kebbel is an American actress and former model known for her roles in film and television series such as "The Vampire Diaries," "Gilmore Girls," and various romantic comedies and dramas.
  • E. Rose McIver
    Rose McIver is a New Zealand actress best known for her leading roles in the television series iZombie and Ghosts, as well as numerous film and TV appearances.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d44044819088c86f46b02404ed completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 2:38 a.m.