Triple
T18355466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolene |
E439783
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | Jolene (Dolly Parton song) |
—
|
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: Jolene (Dolly Parton song) | Statement: [Jolene, isDistinctFrom, Jolene (Dolly Parton song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jolene (Dolly Parton song) Context triple: [Jolene, isDistinctFrom, Jolene (Dolly Parton song)]
-
A.
Jolene
"Jolene" is a 2008 American drama film, adapted from an E.L. Doctorow short story, that follows a young woman's tumultuous journey across the United States in search of love and stability.
-
B.
Jolene
chosen
Jolene is a feminine given name most famously associated with the 1973 country song by Dolly Parton.
-
C.
Jolene
"Jolene" is a 1974 country music album by Dolly Parton, best known for its iconic title track and for featuring the original recording of "I Will Always Love You."
-
D.
Jolene
Jolene is an American alternative country band known for its melancholic, roots-influenced sound and emotionally resonant songwriting.
-
E.
Jolene
Jolene is a music album, likely in the pop or rock genre, recognized as the work titled "River of Happiness."
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d69ae081908a36e7c3559a0694 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.