Triple
T3225413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddy Buie |
E67608
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I Take It Back
"I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
|
E337277
|
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: I Take It Back | Statement: [Buddy Buie, notableWork, I Take It Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Take It Back Context triple: [Buddy Buie, notableWork, I Take It Back]
-
A.
Get It Back
"Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
-
B.
Take Back
"Take Back" is a song featured on Green Day's 1997 album *Nimrod*.
-
C.
I Threw It All Away
"I Threw It All Away" is a reflective country-folk song by Bob Dylan, notable for its themes of regret and emotional loss.
-
D.
Come Back to Me
"Come Back to Me" is a soulful pop ballad by Janet Jackson from her landmark 1989 album *Rhythm Nation 1814*, known for its lush production and emotional vocals.
-
E.
I Smile Back
I Smile Back is a 2015 drama film in which comedian Sarah Silverman delivers a critically acclaimed, against-type performance as a suburban mother struggling with addiction and mental illness.
- 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: I Take It Back Triple: [Buddy Buie, notableWork, I Take It Back]
Generated description
"I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Take It Back Target entity description: "I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
-
A.
Get It Back
"Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
-
B.
Take Back
"Take Back" is a song featured on Green Day's 1997 album *Nimrod*.
-
C.
I Threw It All Away
"I Threw It All Away" is a reflective country-folk song by Bob Dylan, notable for its themes of regret and emotional loss.
-
D.
Come Back to Me
"Come Back to Me" is a soulful pop ballad by Janet Jackson from her landmark 1989 album *Rhythm Nation 1814*, known for its lush production and emotional vocals.
-
E.
I Smile Back
I Smile Back is a 2015 drama film in which comedian Sarah Silverman delivers a critically acclaimed, against-type performance as a suburban mother struggling with addiction and mental illness.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2625eaa708190b23ca6e575d664a2 |
completed | March 12, 2026, 6:51 a.m. |
| NEDg | Description generation | batch_69b264e25bd48190978a289565854297 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265cd3fcc8190bc56bbf2de229386 |
completed | March 12, 2026, 7:05 a.m. |
Created at: March 8, 2026, 3:08 p.m.