Triple
T17546275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleater-Kinney |
E427330
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Mom + Pop Music |
—
|
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: Mom + Pop Music | Statement: [Sleater-Kinney, recordLabel, Mom + Pop Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mom + Pop Music Context triple: [Sleater-Kinney, recordLabel, Mom + Pop Music]
-
A.
Mom + Pop Music
chosen
Mom + Pop Music is an independent record label known for releasing music by artists such as Lucius and other prominent indie acts.
-
B.
Mom + Pop
Mom + Pop is a song by the American rock band Lucius, known for its lush harmonies and indie-pop sensibility.
-
C.
Bash & Pop
Bash & Pop is a rock band formed by Tommy Stinson after the breakup of The Replacements, known for its melodic, guitar-driven sound.
-
D.
Musical Moments
Musical Moments is the common English title of Franz Schubert’s Moments musicaux, D. 780, a celebrated set of six short piano pieces from the early Romantic era.
-
E.
BloodPop
BloodPop is an American musician, record producer, and songwriter known for crafting pop and electronic hits for major artists like Justin Bieber and Lady Gaga.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.