Triple

T7028086
Position Surface form Disambiguated ID Type / Status
Subject Maren Morris E163199 entity
Predicate name P16 FINISHED
Object Maren Morris E163199 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: Maren Morris | Statement: [Maren Morris, name, Maren Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maren Morris
Context triple: [Maren Morris, name, Maren Morris]
  • A. Maren Morris chosen
    Maren Morris is a Grammy-winning American singer-songwriter known for blending country, pop, and R&B influences in hits like "My Church" and "The Bones."
  • B. Kacey Musgraves
    Kacey Musgraves is an American country and pop singer-songwriter known for her witty, introspective lyrics and critically acclaimed albums like "Golden Hour."
  • C. Lainey Wilson
    Lainey Wilson is an American country music singer-songwriter known for her neo-traditional sound, storytelling lyrics, and breakout success in the 2020s.
  • D. Kelsea Ballerini
    Kelsea Ballerini is an American country-pop singer and songwriter known for hits like "Peter Pan" and "Miss Me More" and for blending contemporary pop with Nashville country influences.
  • E. Bellamy Young
    Bellamy Young is an American actress and producer best known for her role as First Lady Mellie Grant on the television series "Scandal."
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fee32081908eff988b18daa6d0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7758c87908190bd1ddcfdccc171b5 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.