Triple
T12782396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laundromat Blues |
E305538
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Sandy Jones |
E1004909
|
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: Sandy Jones | Statement: [Laundromat Blues, lyricist, Sandy Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Jones Context triple: [Laundromat Blues, lyricist, Sandy Jones]
-
A.
Sandy Jones
chosen
Sandy Jones is a songwriter best known for composing the blues track "Laundromat Blues."
-
B.
Sandy Miller
Sandy Miller is a fictional nurse character featured in the American television series "Nurses."
-
C.
Sandy McIntyre
Sandy McIntyre was a prospector best known for helping discover Ontario’s rich Porcupine gold mining camp in the early 20th century.
-
D.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
-
E.
Sandy Owens
Sandy Owens is a central character in the 1950 Western film "Wagon Master," portrayed as one of the key figures in the story of a wagon train journey across the American frontier.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b925b3c81909f5e604c0f457645 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:29 p.m.