Triple
T6116249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mase |
E136365
|
entity |
| Predicate | hitSingle |
P5044
|
FINISHED |
| Object | Feel So Good |
E451601
|
NE FINISHED |
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: Feel So Good | Statement: [Mase, hitSingle, Feel So Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feel So Good Context triple: [Mase, hitSingle, Feel So Good]
-
A.
Feel So Good
chosen
"Feel So Good" is a hit 1997 hip-hop single by Mase that became one of his signature songs and a defining track of the late-1990s Bad Boy Records era.
-
B.
Never Felt So Good
"Never Felt So Good" is an R&B song by American singer James Ingram, known for its smooth vocals and romantic, soulful style.
-
C.
Feels Good to Me
Feels Good to Me is the 1978 debut solo album by drummer Bill Bruford, blending jazz fusion and progressive rock with an all-star lineup of musicians.
-
D.
So Far So Good
So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
-
E.
Life's Good
Life's Good is the well-known marketing slogan used by South Korean electronics company LG to promote its brand and products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359ed8608190a99c9e5b0f384c63 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.