Triple
T22287700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Take Your Guns to Town |
E550906
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Law |
—
|
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: Don Law | Statement: [Don't Take Your Guns to Town, producer, Don Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Law Context triple: [Don't Take Your Guns to Town, producer, Don Law]
-
A.
Don Law
chosen
Don Law was a prominent record producer best known for his influential work in country and early rock music, including classic recordings by artists like Johnny Cash and Marty Robbins.
-
B.
Don Laws
Don Laws was a prominent American figure skating coach and former competitive skater, best known for mentoring elite athletes and contributing significantly to the sport’s development.
-
C.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
-
D.
Dennis Scott
Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
-
E.
Don Graham
Don Graham is a real estate developer best known for his role in creating Honolulu’s Ala Moana Center, one of the largest open-air shopping malls in the world.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560896348190985725ac8ad406b3 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.