Triple
T12782395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laundromat Blues |
E305538
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Sandy Jones
Sandy Jones is a songwriter best known for composing the blues track "Laundromat Blues."
|
E1004909
|
NE FINISHED |
How this triple was built (4 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, composer, Sandy Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Jones Context triple: [Laundromat Blues, composer, Sandy Jones]
-
A.
Sandy Miller
Sandy Miller is a fictional nurse character featured in the American television series "Nurses."
-
B.
Sandy McIntyre
Sandy McIntyre was a prospector best known for helping discover Ontario’s rich Porcupine gold mining camp in the early 20th century.
-
C.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
-
D.
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.
-
E.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sandy Jones Triple: [Laundromat Blues, composer, Sandy Jones]
Generated description
Sandy Jones is a songwriter best known for composing the blues track "Laundromat Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandy Jones Target entity description: Sandy Jones is a songwriter best known for composing the blues track "Laundromat Blues."
-
A.
Sandy Miller
Sandy Miller is a fictional nurse character featured in the American television series "Nurses."
-
B.
Sandy McIntyre
Sandy McIntyre was a prospector best known for helping discover Ontario’s rich Porcupine gold mining camp in the early 20th century.
-
C.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
-
D.
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.
-
E.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
- F. None of above. chosen
Provenance (5 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_69f68ebc75bc81908bad7fb06af674a9 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68fb6790881908c1d6f53b54906a2 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f690c0bd208190bd1f04a9640ad1ce |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 9, 2026, 5:29 p.m.