Triple
T205978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Brown |
E4610
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Good Enough
"Good Enough" is a song by American R&B singer Bobby Brown, known for its smooth new jack swing style and emotive vocals.
|
E26432
|
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: Good Enough | Statement: [Bobby Brown, notableWork, Good Enough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Enough Context triple: [Bobby Brown, notableWork, Good Enough]
-
A.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
Each Day Gets Better
"Each Day Gets Better" is a song featured on John Legend's album "Once Again."
-
D.
The Best Is Yet to Come
"The Best Is Yet to Come" is a memoir by Ivana Trump reflecting on her life, relationships, and experiences as the former wife of Donald Trump.
-
E.
He Knew He Was Right
He Knew He Was Right is a Victorian novel by Anthony Trollope that explores marital jealousy, social convention, and the psychological unraveling of its protagonist.
- 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: Good Enough Triple: [Bobby Brown, notableWork, Good Enough]
Generated description
"Good Enough" is a song by American R&B singer Bobby Brown, known for its smooth new jack swing style and emotive vocals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Enough Target entity description: "Good Enough" is a song by American R&B singer Bobby Brown, known for its smooth new jack swing style and emotive vocals.
-
A.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
Each Day Gets Better
"Each Day Gets Better" is a song featured on John Legend's album "Once Again."
-
D.
The Best Is Yet to Come
"The Best Is Yet to Come" is a memoir by Ivana Trump reflecting on her life, relationships, and experiences as the former wife of Donald Trump.
-
E.
He Knew He Was Right
He Knew He Was Right is a Victorian novel by Anthony Trollope that explores marital jealousy, social convention, and the psychological unraveling of its protagonist.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c04e42481909e957cb34dc02731 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32bc77734819095e6cf53a10aa3d8 |
completed | Feb. 28, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69a32c29d99081908ed22bfb073ad5bd |
completed | Feb. 28, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a32cc49eb08190ad97fdd8ead436f7 |
completed | Feb. 28, 2026, 5:58 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.