Triple

T5067611
Position Surface form Disambiguated ID Type / Status
Subject Natalia Dyer E114180 entity
Predicate birthName P65 FINISHED
Object Natalia Danielle 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 Danielle Dyer | Statement: [Natalia Dyer, birthName, Natalia Danielle Dyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalia Danielle Dyer
Context triple: [Natalia Dyer, birthName, Natalia Danielle 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. Samara Weaving
    Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
  • C. Maya Erskine
    Maya Erskine is an American actress, writer, and comedian best known for co-creating and starring in the cringe-comedy series "PEN15."
  • D. Kaitlin Olson
    Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
  • E. Caity Lotz
    Caity Lotz is an American actress, dancer, and director best known for her role as Sara Lance/White Canary in the Arrowverse television series, particularly DC's Legends of Tomorrow.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90ef06c819098bbaea8336fffa4 completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:38 p.m.