Triple

T19647807
Position Surface form Disambiguated ID Type / Status
Subject Ma (2019 film) E471726 entity
Predicate castMember P1668 FINISHED
Object McKaley Miller 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: McKaley Miller | Statement: [Ma (2019 film), castMember, McKaley Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McKaley Miller
Context triple: [Ma (2019 film), castMember, McKaley Miller]
  • A. McKaley Miller chosen
    McKaley Miller is an American actress best known for her role as Rose Hattenbarger on the television series "Hart of Dixie."
  • B. Kelsey Burrell
    Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
  • C. Kellie Miller
    Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
  • D. 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."
  • E. Skylar Smith
    Skylar Smith is the child of American philanthropist and former beauty queen Patricia Southall.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.