Triple
T20624327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panic of Girls |
E506777
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wipe Off My Sweat
"Wipe Off My Sweat" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
|
E1441883
|
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: Wipe Off My Sweat | Statement: [Panic of Girls, hasPart, Wipe Off My Sweat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wipe Off My Sweat Context triple: [Panic of Girls, hasPart, Wipe Off My Sweat]
-
A.
Make You Sweat
"Make You Sweat" is a popular R&B single by American singer Keith Sweat, known for its smooth new jack swing style and chart success in the early 1990s.
-
B.
No Sweat
"No Sweat" is a smooth, soft-rock-inspired track by the indie supergroup Gayngs, showcasing their signature mellow, atmospheric sound.
-
C.
No Sweat
"No Sweat" is a song by Canadian singer-songwriter Jessie Reyez, showcasing her distinctive soulful vocals and emotionally raw lyricism.
-
D.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
E.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
- 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: Wipe Off My Sweat Triple: [Panic of Girls, hasPart, Wipe Off My Sweat]
Generated description
"Wipe Off My Sweat" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wipe Off My Sweat Target entity description: "Wipe Off My Sweat" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
-
A.
Make You Sweat
"Make You Sweat" is a popular R&B single by American singer Keith Sweat, known for its smooth new jack swing style and chart success in the early 1990s.
-
B.
No Sweat
"No Sweat" is a smooth, soft-rock-inspired track by the indie supergroup Gayngs, showcasing their signature mellow, atmospheric sound.
-
C.
No Sweat
"No Sweat" is a song by Canadian singer-songwriter Jessie Reyez, showcasing her distinctive soulful vocals and emotionally raw lyricism.
-
D.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
E.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1b767881908404c3039f0c2b51 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bbb570f4819093e23b20fd83d101 |
completed | May 16, 2026, 6:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bf7d661c8190af9e9b7b4121f951 |
completed | May 16, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:42 a.m.