Triple
T7927557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Price |
E184104
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Margo Price |
E336911
|
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: Margo Price | Statement: [Price, hasNotableBearer, Margo Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Price Context triple: [Price, hasNotableBearer, Margo Price]
-
A.
Margo Price
chosen
Margo Price is an American country singer-songwriter known for her critically acclaimed, retro-tinged outlaw country sound and storytelling lyricism.
-
B.
Amanda Shires
Amanda Shires is an American singer-songwriter, fiddler, and member of the country supergroup The Highwomen, known for her genre-blending Americana and folk-influenced music.
-
C.
Margo King
Margo King is a notable individual distinguished enough to be recognized as a prominent bearer of the surname King.
-
D.
Maren Morris
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."
-
E.
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.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bfd08e88190bc6b2d77a148ae57 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.