Triple

T5190700
Position Surface form Disambiguated ID Type / Status
Subject Charlie Heaton E117144 entity
Predicate coStarredWith P14987 FINISHED
Object Natalia Dyer E114180 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: Natalia Dyer | Statement: [Charlie Heaton, coStarredWith, Natalia Dyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalia Dyer
Context triple: [Charlie Heaton, coStarredWith, Natalia Dyer]
  • A. Natalia Dyer chosen
    Natalia Dyer is an American actress best known for her role as Nancy Wheeler in the Netflix science fiction-horror series "Stranger Things."
  • B. Olivia Cooke
    Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
  • C. Alexandra Astin
    Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
  • D. D’Arcy Carden
    D’Arcy Carden is an American actress and comedian best known for her roles on the TV series "The Good Place" and "Barry."
  • E. Maria Riva
    Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ac60448190a2e97a4df03863ea completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:46 p.m.