Triple
T23551259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fixer |
E578051
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Got Some |
—
|
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: Got Some | Statement: [The Fixer, followedBySingle, Got Some]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got Some Context triple: [The Fixer, followedBySingle, Got Some]
-
A.
Got Some
chosen
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
-
B.
Get Me Some
"Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
-
C.
Get Some
"Get Some" is a country song by Blake Shelton featured on his 2011 album "Red River Blue."
-
D.
We Got Something They Don't
"We Got Something They Don't" is a country song by American artist Shania Twain from her 2017 album "Now."
-
E.
Got Me Good
"Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.