Triple
T20520646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Baker |
E503797
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Dag Nasty |
—
|
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: Dag Nasty | Statement: [Brian Baker, associatedAct, Dag Nasty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dag Nasty Context triple: [Brian Baker, associatedAct, Dag Nasty]
-
A.
Dag Nasty
chosen
Dag Nasty is an influential American hardcore punk band from Washington, D.C., known for helping pioneer the melodic hardcore and emo-core sounds of the mid-1980s.
-
B.
Pig Destroyer
Pig Destroyer is an American grindcore band known for its intensely fast, abrasive sound and dark, complex lyrics.
-
C.
Cropsy
Cropsy is the disfigured, vengeful killer who serves as the central slasher villain in the 1981 horror film "The Burning."
-
D.
Rancid
Rancid is an American punk rock band known for reviving and popularizing ska-influenced street punk in the 1990s.
-
E.
Shriekback
Shriekback is an English rock band formed in the early 1980s, known for its dark, atmospheric blend of post-punk, new wave, and funk.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.