Triple
T17184924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry |
E417078
|
entity |
| Predicate | associatedBand |
P6597
|
FINISHED |
| Object |
Lard
Lard is an American industrial metal/punk supergroup best known for featuring Jello Biafra of Dead Kennedys collaborating with members of Ministry.
|
E1256288
|
NE FINISHED |
How this triple was built (4 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: [Ministry, associatedBand, Lard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lard Context triple: [Ministry, associatedBand, Lard]
-
A.
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.
-
B.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
C.
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.
-
D.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lard Triple: [Ministry, associatedBand, Lard]
Generated description
Lard is an American industrial metal/punk supergroup best known for featuring Jello Biafra of Dead Kennedys collaborating with members of Ministry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lard Target entity description: Lard is an American industrial metal/punk supergroup best known for featuring Jello Biafra of Dead Kennedys collaborating with members of Ministry.
-
A.
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.
-
B.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
C.
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.
-
D.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- F. None of above. chosen
Provenance (5 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.