Triple
T15273779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venom P. Stinger |
E365084
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Tear Bucketer
Tear Bucketer is a music album by Venom P. Stinger, an Australian band known for its raw, abrasive post-punk and noise rock sound.
|
E1146380
|
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: Tear Bucketer | Statement: [Venom P. Stinger, album, Tear Bucketer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tear Bucketer Context triple: [Venom P. Stinger, album, Tear Bucketer]
-
A.
The Bucket
"The Bucket" is a song by American rock band Kings of Leon, known for its catchy guitar riffs and reflective lyrics about the pressures of early fame.
-
B.
Tankuppa
Tankuppa is a locality within Bihar’s Gaya district in India, known primarily as a small rural settlement in this region.
-
C.
Hell in a Bucket
"Hell in a Bucket" is a rock song by the Grateful Dead, known for its gritty lyrics and energetic live performances.
-
D.
Buck ’Em
Buck ’Em is a track featured on Snoop Dogg’s 1999 studio album "No Limit Top Dogg."
-
E.
The Grinder
The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
- 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: Tear Bucketer Triple: [Venom P. Stinger, album, Tear Bucketer]
Generated description
Tear Bucketer is a music album by Venom P. Stinger, an Australian band known for its raw, abrasive post-punk and noise rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tear Bucketer Target entity description: Tear Bucketer is a music album by Venom P. Stinger, an Australian band known for its raw, abrasive post-punk and noise rock sound.
-
A.
The Bucket
"The Bucket" is a song by American rock band Kings of Leon, known for its catchy guitar riffs and reflective lyrics about the pressures of early fame.
-
B.
Tankuppa
Tankuppa is a locality within Bihar’s Gaya district in India, known primarily as a small rural settlement in this region.
-
C.
Hell in a Bucket
"Hell in a Bucket" is a rock song by the Grateful Dead, known for its gritty lyrics and energetic live performances.
-
D.
Buck ’Em
Buck ’Em is a track featured on Snoop Dogg’s 1999 studio album "No Limit Top Dogg."
-
E.
The Grinder
The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6069f488190b74793200e5698ff |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee82a8ab08190813620457c5357b4 |
completed | May 9, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee8cce6c0819084b425b5cd09efe0 |
completed | May 9, 2026, 7:57 a.m. |
Created at: April 10, 2026, 3:14 a.m.