Triple

T23219965
Position Surface form Disambiguated ID Type / Status
Subject Johanna Mason E580859 entity
Predicate portrayedBy P1507 FINISHED
Object Jena Malone NE NERFINISHED

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: Jena Malone | Statement: [Johanna Mason, portrayedBy, Jena Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jena Malone
Context triple: [Johanna Mason, portrayedBy, Jena Malone]
  • A. Jena Malone chosen
    Jena Malone is an American actress and musician known for her versatile roles in independent films and major franchises such as "Donnie Darko," "Pride & Prejudice," and "The Hunger Games" series.
  • B. Maggie Gyllenhaal
    Maggie Gyllenhaal is an American actress known for her nuanced performances in independent films and major studio productions, including her acclaimed role as Rachel Dawes in Christopher Nolan’s Batman franchise.
  • C. Amanda Crew
    Amanda Crew is a Canadian actress best known for her role as Monica Hall on the HBO comedy series "Silicon Valley."
  • D. Dylan Penn
    Dylan Penn is an American model and actress, known for her work in fashion campaigns and film roles as well as being the daughter of actors Sean Penn and Robin Wright.
  • E. Kate Bosworth
    Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916870148190853874e6cf26bbc7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.