Triple
T10175579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Pass |
E235841
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Take Love Easy
Take Love Easy is a jazz album featuring guitarist Joe Pass, known for its intimate, virtuosic interpretations of standards.
|
E846196
|
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: Take Love Easy | Statement: [Joe Pass, notableWork, Take Love Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Love Easy Context triple: [Joe Pass, notableWork, Take Love Easy]
-
A.
Take Love Easy
"Take Love Easy" is a jazz album by vocalist Sophie Milman, showcasing her smooth, expressive interpretations of classic and contemporary standards.
-
B.
Easy to Love
"Easy to Love" is a popular Cole Porter standard that has been widely recorded in jazz and pop, including by Ella Fitzgerald on her celebrated Cole Porter songbook album.
-
C.
Loving You Is Easy
"Loving You Is Easy" is a pop ballad by Canadian singer-songwriter Sarah McLachlan, known for its melodic, romantic style and heartfelt lyrics.
-
D.
Easy Love
"Easy Love" is a popular electro-house track by Canadian electronic duo MSTRKRFT, known for its gritty synths, driving beat, and club-friendly energy.
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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: Take Love Easy Triple: [Joe Pass, notableWork, Take Love Easy]
Generated description
Take Love Easy is a jazz album featuring guitarist Joe Pass, known for its intimate, virtuosic interpretations of standards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Take Love Easy Target entity description: Take Love Easy is a jazz album featuring guitarist Joe Pass, known for its intimate, virtuosic interpretations of standards.
-
A.
Take Love Easy
"Take Love Easy" is a jazz album by vocalist Sophie Milman, showcasing her smooth, expressive interpretations of classic and contemporary standards.
-
B.
Easy to Love
"Easy to Love" is a popular Cole Porter standard that has been widely recorded in jazz and pop, including by Ella Fitzgerald on her celebrated Cole Porter songbook album.
-
C.
Loving You Is Easy
"Loving You Is Easy" is a pop ballad by Canadian singer-songwriter Sarah McLachlan, known for its melodic, romantic style and heartfelt lyrics.
-
D.
Easy Love
"Easy Love" is a popular electro-house track by Canadian electronic duo MSTRKRFT, known for its gritty synths, driving beat, and club-friendly energy.
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd26a8c8190a391b9d5e47ebb72 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301232e5c8190ad80c4e78681994c |
completed | April 6, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d3028994fc81908507449a10e7e093 |
completed | April 6, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3031ed1e88190b9906338285a6e46 |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:11 p.m.