Triple

T9987863
Position Surface form Disambiguated ID Type / Status
Subject October Sky E196813 entity
Predicate castMember P1668 FINISHED
Object Natalie Canerday E518216 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: Natalie Canerday | Statement: [October Sky, castMember, Natalie Canerday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Canerday
Context triple: [October Sky, castMember, 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. 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.
  • D. Kelsey Burrell
    Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
  • E. Teaira McCowan
    Teaira McCowan is an American professional basketball center in the WNBA known for her dominant interior presence, rebounding, and shot-blocking ability.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79e10408190bcb4e55b6a0df79c completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281f6bd5081908c50cc22280ce6a0 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:50 p.m.