Triple
T10009795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take It Easy |
E198341
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object |
Get You in the Mood
"Get You in the Mood" is a song that appears as the B-side to the single "Take It Easy."
|
E835399
|
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: Get You in the Mood | Statement: [Take It Easy, bSide, Get You in the Mood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get You in the Mood Context triple: [Take It Easy, bSide, Get You in the Mood]
-
A.
In the Mood
"In the Mood" is a famous big band-era jazz standard closely associated with Glenn Miller and widely recognized for its catchy swing rhythm and iconic saxophone riff.
-
B.
I'm in the Mood
"I'm in the Mood" is a classic blues song by John Lee Hooker, renowned for its hypnotic groove and influential role in postwar electric blues.
-
C.
Embraceable You
"Embraceable You" is a popular jazz and pop standard composed by George Gershwin with lyrics by Ira Gershwin, widely recorded and performed since its debut in the 1930 musical Girl Crazy.
-
D.
It Must Be You
"It Must Be You" is a song featured on Dolly Parton's 1974 country album "Jolene."
-
E.
You Do Something to Me
"You Do Something to Me" is a popular romantic song written by Cole Porter that has become a jazz and pop standard recorded by numerous artists.
- 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: Get You in the Mood Triple: [Take It Easy, bSide, Get You in the Mood]
Generated description
"Get You in the Mood" is a song that appears as the B-side to the single "Take It Easy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Get You in the Mood Target entity description: "Get You in the Mood" is a song that appears as the B-side to the single "Take It Easy."
-
A.
In the Mood
"In the Mood" is a famous big band-era jazz standard closely associated with Glenn Miller and widely recognized for its catchy swing rhythm and iconic saxophone riff.
-
B.
I'm in the Mood
"I'm in the Mood" is a classic blues song by John Lee Hooker, renowned for its hypnotic groove and influential role in postwar electric blues.
-
C.
Embraceable You
"Embraceable You" is a popular jazz and pop standard composed by George Gershwin with lyrics by Ira Gershwin, widely recorded and performed since its debut in the 1930 musical Girl Crazy.
-
D.
It Must Be You
"It Must Be You" is a song featured on Dolly Parton's 1974 country album "Jolene."
-
E.
You Do Something to Me
"You Do Something to Me" is a popular romantic song written by Cole Porter that has become a jazz and pop standard recorded by numerous artists.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd39e074819097f77a4d4bf7856e |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a7265b88190b69e7869a96bb404 |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26e44ef488190bf8ce9c7b6c9700f |
completed | April 5, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26ecca9508190a3a0890748f80ea6 |
completed | April 5, 2026, 2:16 p.m. |
Created at: March 30, 2026, 8:52 p.m.