Triple

T20862586
Position Surface form Disambiguated ID Type / Status
Subject Julie Miller E513658 entity
Predicate writesLyricsFor P1360 FINISHED
Object Julie 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: Julie Miller | Statement: [Julie Miller, writesLyricsFor, Julie Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Miller
Context triple: [Julie Miller, writesLyricsFor, Julie Miller]
  • A. Julie Miller chosen
    Julie Miller is an American singer-songwriter known for her work in contemporary Christian and Americana music, often collaborating with her husband Buddy Miller.
  • B. Julie Miller
    Julie Miller is the ambitious and talented performing arts student who serves as a central protagonist in the television series "Fame."
  • C. Tina Miller
    Tina Miller is a central character on the sitcom "Still Standing," portrayed as the Millers’ teenage daughter navigating typical adolescent and family challenges.
  • D. Lisa Dawn Miller
    Lisa Dawn Miller is an American singer, songwriter, producer, and daughter of Motown songwriter Ron Miller, known for preserving and promoting his musical legacy.
  • E. Tammy Miller
    Tammy Miller is known as the spouse of American actor Joel McKinnon Miller, recognized for his roles in television and film.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45d2ec4819098abbb901b9fcd87 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:44 p.m.