Triple
T21493464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Dawg Entertainment |
E530292
|
entity |
| Predicate | notableRelease |
P13405
|
FINISHED |
| Object | DAMN. |
—
|
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: DAMN. | Statement: [Top Dawg Entertainment, notableRelease, DAMN.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAMN. Context triple: [Top Dawg Entertainment, notableRelease, DAMN.]
-
A.
DAMN.
chosen
DAMN. is a critically acclaimed 2017 studio album by Kendrick Lamar that blends introspective lyricism with innovative production and won the Pulitzer Prize for Music.
-
B.
Damn!
"Damn!" is a 2003 crunk/hip-hop single by YoungBloodZ featuring Lil Jon, best known for its aggressive energy and memorable hook that made it a club and radio hit.
-
C.
Dammit
"Dammit" is a fast-paced pop-punk song by Blink-182, widely recognized as one of their breakout hits from the late 1990s.
-
D.
Gat Damn
"Gat Damn" is a hip-hop track best known for its association with the artist Bandana and its hard-hitting, street-influenced style.
-
E.
Goddamnit
"Goddamnit" is the 1998 debut studio album by American punk rock band Alkaline Trio, known for its raw sound and dark, emotionally charged 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea54fb608190a147cd8aa6d6d04b |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.