Triple

T17902962
Position Surface form Disambiguated ID Type / Status
Subject Sookie Stackhouse E447628 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: [Sookie Stackhouse, portrayedBy, Anna Paquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Paquin
Context triple: [Sookie Stackhouse, 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. Jessica Paré
    Jessica Paré is a Canadian actress best known for her role as Megan Draper on the television series "Mad Men."
  • C. Danielle Nicolet
    Danielle Nicolet is an American actress best known for her role as Cecile Horton on the superhero television series "The Flash."
  • D. 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.
  • E. Mädchen Amick
    Mädchen Amick is an American actress best known for her role as Shelly Johnson in David Lynch’s cult television series Twin Peaks and its later revival.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e99c3188190aead24cd3d48c7a7 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b2a27748190b620da54b4222a37 completed May 12, 2026, 12:20 p.m.
Created at: April 10, 2026, 10:19 a.m.