Triple
T20176974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Kennedys |
E492624
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lard |
—
|
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: Lard | Statement: [Dead Kennedys, associatedAct, Lard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lard Context triple: [Dead Kennedys, associatedAct, Lard]
-
A.
Lard
chosen
Lard is an American industrial metal/punk supergroup best known for featuring Jello Biafra of Dead Kennedys collaborating with members of Ministry.
-
B.
Amboog-a-Lard
Amboog-a-Lard was an early 1990s Florida-based alternative metal band best known as one of Twiggy Ramirez’s pre–Marilyn Manson projects.
-
C.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
D.
Duck Butter
Duck Butter is a 2018 independent romantic drama film co-written by and starring Alia Shawkat, following two women who attempt to fast-track intimacy by spending 24 continuous hours together.
-
E.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ec4d7c81909fa4bdc58ed54aeb |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.