Triple
T22389014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revival |
E553467
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Good for You |
—
|
NE NERFINISHED |
How this triple was built (2 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 for You | Statement: [Revival, hasSingle, Good for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good for You Context triple: [Revival, hasSingle, Good for You]
-
A.
Good for You
"Good for You" is the first full-length studio album by American rapper Aminé, showcasing his playful, melodic take on hip-hop and cementing his breakout following the success of his single "Caroline."
-
B.
Good for You
chosen
"Good for You" is a sultry, minimalist pop and R&B song by Selena Gomez featuring rapper A$AP Rocky that marked a more mature artistic direction in her music career.
-
C.
Good to You
Good to You is a component or aspect of the broader concept of Quality, likely representing a specific feature, benefit, or value perceived as positive by an individual.
-
D.
Good in You
"Good in You" is a song by the South Korean girl group Blush, known for their pop sound and international appeal.
-
E.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15858c13c819098fe66a50ecea7d7 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.