Triple
T23329381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whoever's in New England |
E591399
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | One Thin Dime |
—
|
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: One Thin Dime | Statement: [Whoever's in New England, hasTrack, One Thin Dime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Thin Dime Context triple: [Whoever's in New England, hasTrack, One Thin Dime]
-
A.
One Thin Dime
chosen
"One Thin Dime" is a country song recorded by American singer Reba McEntire.
-
B.
One Dime at a Time
"One Dime at a Time" is a bluegrass song by the Steep Canyon Rangers that showcases their traditional acoustic style and tight vocal harmonies.
-
C.
Chasing the Dime
Chasing the Dime is a standalone crime thriller novel by Michael Connelly that follows a scientist drawn into a dangerous investigation after becoming obsessed with uncovering the truth behind a mysterious woman’s identity.
-
D.
On the Nickel
On the Nickel is a 1980 independent drama film about homeless men living on Los Angeles’s skid row, written, produced, and starring Ralph Waite.
-
E.
Big Nickel
Big Nickel is a giant nine-metre-tall replica of a 1951 Canadian nickel and a famous roadside attraction located in Sudbury, Ontario.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ec22a481908247f5f86acb6ab4 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:14 p.m.