Triple
T16371323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let’s Get Lost |
E397569
|
entity |
| Predicate | hasNotableSong |
P20452
|
FINISHED |
| Object |
Almost Blue
"Almost Blue" is a melancholic jazz ballad famously performed by Chet Baker, known for its haunting melody and emotional depth.
|
E1208435
|
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: Almost Blue | Statement: [Let’s Get Lost, hasNotableSong, Almost Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almost Blue Context triple: [Let’s Get Lost, hasNotableSong, Almost Blue]
-
A.
Still Blue
Still Blue is a track featured on the album "Chasing Summer" by rapper and singer SiR.
-
B.
Am I Blue
"Am I Blue" is a classic pop and jazz standard that has been widely covered by vocalists, including Bette Midler on her album *The Divine Miss M*."
-
C.
Believe in Blue
Believe in Blue is the official motto of Lake Superior State University, expressing school pride and loyalty to the institution’s colors and community.
-
D.
Dazzling Blue
"Dazzling Blue" is a reflective, folk-infused song by Paul Simon that blends intricate acoustic guitar work with poetic lyrics on love and spirituality.
-
E.
Sugar Blue
Sugar Blue is an American blues harmonica virtuoso known for his innovative, high-intensity playing style and work with artists such as the Rolling Stones.
- 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: Almost Blue Triple: [Let’s Get Lost, hasNotableSong, Almost Blue]
Generated description
"Almost Blue" is a melancholic jazz ballad famously performed by Chet Baker, known for its haunting melody and emotional depth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almost Blue Target entity description: "Almost Blue" is a melancholic jazz ballad famously performed by Chet Baker, known for its haunting melody and emotional depth.
-
A.
Still Blue
Still Blue is a track featured on the album "Chasing Summer" by rapper and singer SiR.
-
B.
Am I Blue
"Am I Blue" is a classic pop and jazz standard that has been widely covered by vocalists, including Bette Midler on her album *The Divine Miss M*."
-
C.
Believe in Blue
Believe in Blue is the official motto of Lake Superior State University, expressing school pride and loyalty to the institution’s colors and community.
-
D.
Dazzling Blue
"Dazzling Blue" is a reflective, folk-infused song by Paul Simon that blends intricate acoustic guitar work with poetic lyrics on love and spirituality.
-
E.
Sugar Blue
Sugar Blue is an American blues harmonica virtuoso known for his innovative, high-intensity playing style and work with artists such as the Rolling Stones.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff420d04819096ff12e08edf2f8b |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc44c508190bf87b437d1447db6 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f7203d88190834594b03d29b193 |
completed | May 10, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002fd7fba8819095bb67c7e7a0fefd |
completed | May 10, 2026, 7:12 a.m. |
Created at: April 10, 2026, 5:08 a.m.