Triple
T12005621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Work |
E285771
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Too Rude
Too Rude is a reggae-punk band led by former Sublime drummer Bud Gaugh, known for blending ska, punk, and reggae influences.
|
E960228
|
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: Too Rude | Statement: [Dirty Work, hasPart, Too Rude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Rude Context triple: [Dirty Work, hasPart, Too Rude]
-
A.
Rude Mood
"Rude Mood" is a fast-paced, instrumental blues-rock guitar track by Stevie Ray Vaughan, showcasing his virtuosic Texas blues style.
-
B.
No Manners
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
-
C.
Rudebox
Rudebox is a genre-blending 2006 studio album by British pop singer Robbie Williams that incorporates elements of electro, hip hop, and dance music.
-
D.
Unruly
"Unruly" is a 2023 studio album by Nigerian rapper and singer Olamide, showcasing his blend of Afrobeats, hip-hop, and street-inspired sounds.
-
E.
Rude Awakening
Rude Awakening is a 1989 comedy film about two former 1960s hippie activists who return to the United States after years in a Central American jungle to find their old ideals clashing with the materialism of the 1980s.
- 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: Too Rude Triple: [Dirty Work, hasPart, Too Rude]
Generated description
Too Rude is a reggae-punk band led by former Sublime drummer Bud Gaugh, known for blending ska, punk, and reggae influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Too Rude Target entity description: Too Rude is a reggae-punk band led by former Sublime drummer Bud Gaugh, known for blending ska, punk, and reggae influences.
-
A.
Rude Mood
"Rude Mood" is a fast-paced, instrumental blues-rock guitar track by Stevie Ray Vaughan, showcasing his virtuosic Texas blues style.
-
B.
No Manners
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
-
C.
Rudebox
Rudebox is a genre-blending 2006 studio album by British pop singer Robbie Williams that incorporates elements of electro, hip hop, and dance music.
-
D.
Unruly
"Unruly" is a 2023 studio album by Nigerian rapper and singer Olamide, showcasing his blend of Afrobeats, hip-hop, and street-inspired sounds.
-
E.
Rude Awakening
Rude Awakening is a 1989 comedy film about two former 1960s hippie activists who return to the United States after years in a Central American jungle to find their old ideals clashing with the materialism of the 1980s.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b0574d48190b336a6b9a4ada2a8 |
completed | May 1, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_69f48fc3baac8190af87b55164f00b26 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495ab52788190a886f7014267f8e2 |
completed | May 1, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:46 p.m.