Triple

T21037014
Position Surface form Disambiguated ID Type / Status
Subject Natalie Canerday E518216 entity
Predicate name P16 FINISHED
Object Natalie Canerday 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: Natalie Canerday | Statement: [Natalie Canerday, name, Natalie Canerday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Canerday
Context triple: [Natalie Canerday, name, Natalie Canerday]
  • A. Natalie Canerday chosen
    Natalie Canerday is an American character actress best known for her supporting roles in Southern-set independent films of the 1990s, including her memorable performance in "Sling Blade."
  • B. Kaitlyn Robrock
    Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
  • C. Kaylee DeFer
    Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
  • D. Kelsey Asbille
    Kelsey Asbille is an American actress known for her roles in television series such as Yellowstone and Teen Wolf, as well as films like Wind River.
  • E. Kelsey Burrell
    Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcecf2508190a7647abb3c59debb completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:02 p.m.