Triple
T17184912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry |
E417078
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
From Beer to Eternity
From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
|
E1256281
|
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: From Beer to Eternity | Statement: [Ministry, notableWork, From Beer to Eternity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From Beer to Eternity Context triple: [Ministry, notableWork, From Beer to Eternity]
-
A.
Beer and Blood
Beer and Blood is a crime novel that served as the literary basis for the classic gangster film "The Public Enemy."
-
B.
The Man Who Loved Beer
"The Man Who Loved Beer" is a song by British singer-songwriter David Byrne, featured on his 2004 album *Grown Backwards*.
-
C.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
D.
Beer for My Horses
"Beer for My Horses" is a popular country song by Toby Keith featuring Willie Nelson, known for its outlaw justice theme and later adapted into a comedy film of the same name.
-
E.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
- 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: From Beer to Eternity Triple: [Ministry, notableWork, From Beer to Eternity]
Generated description
From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: From Beer to Eternity Target entity description: From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
-
A.
Beer and Blood
Beer and Blood is a crime novel that served as the literary basis for the classic gangster film "The Public Enemy."
-
B.
The Man Who Loved Beer
"The Man Who Loved Beer" is a song by British singer-songwriter David Byrne, featured on his 2004 album *Grown Backwards*.
-
C.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
D.
Beer for My Horses
"Beer for My Horses" is a popular country song by Toby Keith featuring Willie Nelson, known for its outlaw justice theme and later adapted into a comedy film of the same name.
-
E.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
- 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.