Triple
T18084966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildflower |
E432808
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Good Is Good |
—
|
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 Is Good | Statement: [Wildflower, hasTrack, Good Is Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Is Good Context triple: [Wildflower, hasTrack, Good Is Good]
-
A.
Good Is Good
chosen
"Good Is Good" is a pop-rock song by American singer-songwriter Sheryl Crow, known for its melodic hooks and reflective lyrics.
-
B.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
C.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
D.
It's All Good
"It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
-
E.
So Good
"So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.