Triple
T17706053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretchen Wilson |
E441434
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gretchen Wilson |
—
|
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: Gretchen Wilson | Statement: [Gretchen Wilson, name, Gretchen Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gretchen Wilson Context triple: [Gretchen Wilson, name, Gretchen Wilson]
-
A.
Gretchen Wilson
chosen
Gretchen Wilson is an American country music singer best known for her 2004 hit single "Redneck Woman" and her debut album "Here for the Party."
-
B.
Chely Wright
Chely Wright is an American country music singer-songwriter known for hits like "Single White Female" and for being one of the first major country artists to come out as gay.
-
C.
Pam Tillis
Pam Tillis is an American country music singer-songwriter and actress known for hits in the 1990s such as "Maybe It Was Memphis" and "Mi Vida Loca (My Crazy Life)."
-
D.
Shelby Lynne
Shelby Lynne is an American singer-songwriter known for her soulful blend of country, pop, and Americana, as well as her Grammy-winning vocal performances.
-
E.
Jenny Wright
Jenny Wright is an American actress best known for her roles in 1980s films such as "Near Dark," "Pink Floyd – The Wall," and "St. Elmo's Fire."
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47297359481909629c79220e58245 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.