Triple

T5277067
Position Surface form Disambiguated ID Type / Status
Subject Rogue E119394 entity
Predicate portrayedBy P1507 FINISHED
Object Anna Paquin E135496 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: Anna Paquin | Statement: [Rogue, portrayedBy, Anna Paquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Paquin
Context triple: [Rogue, portrayedBy, Anna Paquin]
  • A. Anna Paquin chosen
    Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
  • B. Danielle Nicolet
    Danielle Nicolet is an American actress best known for her role as Cecile Horton on the superhero television series "The Flash."
  • C. Juliette Lewis
    Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
  • D. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • E. Lacey Chabert
    Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8474e7fc8190ab5dd84f665ae6a4 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10d839dc8190a9f63740c6bd31a0 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:51 p.m.