Triple
T22484919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undermind |
E555853
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Grind |
—
|
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: Grind | Statement: [Undermind, hasTrack, Grind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grind Context triple: [Undermind, hasTrack, Grind]
-
A.
Grind
chosen
Grind is a lesser-known 1985 Broadway musical directed by legendary producer-director Harold Prince, noted for its dark tone and exploration of racial tensions in a 1930s Chicago burlesque house.
-
B.
The Grind
"The Grind" is a song by Erykah Badu from her neo-soul/hip-hop-influenced album *Worldwide Underground*.
-
C.
The Grind
"The Grind" is a blues-rock track by Aerosmith featured on their 2004 cover album *Honkin' on Bobo*.
-
D.
Grit and Grind
Grit and Grind is the hard-nosed, defense-first identity and era of the Memphis Grizzlies defined by physical play, toughness, and blue-collar resilience.
-
E.
Grind Day
"Grind Day" is a breakout hip-hop single by Ghanaian rapper Kwesi Arthur that helped establish his prominence in the African music scene.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3bb8cc8190950efd84ebe86b73 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.