Triple
T3972555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saliva |
E92366
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Your Disease
"Your Disease" is a song by the American rock band Saliva, known for its aggressive nu-metal style and prominent early-2000s radio play.
|
E405239
|
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: Your Disease | Statement: [Saliva, notableWork, Your Disease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Your Disease Context triple: [Saliva, notableWork, Your Disease]
-
A.
My Medicine
"My Medicine" is a track by Snoop Dogg that blends hip hop with reggae influences and laid-back, cannabis-themed lyrics.
-
B.
Health of the sick
"Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
-
C.
You Are All Diseased
You Are All Diseased is a 1999 stand-up comedy special and album by George Carlin known for its dark, incisive social and political commentary.
-
D.
So Sick
"So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
-
E.
Love Is My Disease
"Love Is My Disease" is a song by Alicia Keys from her 2009 R&B/soul album *The Element of Freedom*.
- 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: Your Disease Triple: [Saliva, notableWork, Your Disease]
Generated description
"Your Disease" is a song by the American rock band Saliva, known for its aggressive nu-metal style and prominent early-2000s radio play.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Your Disease Target entity description: "Your Disease" is a song by the American rock band Saliva, known for its aggressive nu-metal style and prominent early-2000s radio play.
-
A.
My Medicine
"My Medicine" is a track by Snoop Dogg that blends hip hop with reggae influences and laid-back, cannabis-themed lyrics.
-
B.
Health of the sick
"Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
-
C.
You Are All Diseased
You Are All Diseased is a 1999 stand-up comedy special and album by George Carlin known for its dark, incisive social and political commentary.
-
D.
So Sick
"So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
-
E.
Love Is My Disease
"Love Is My Disease" is a song by Alicia Keys from her 2009 R&B/soul album *The Element of Freedom*.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400fa9ac8190adf70a4c49eac32c |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b5442537488190a7a99e09ee154057 |
completed | March 14, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b544f60e288190973aaf0a4136a072 |
completed | March 14, 2026, 11:22 a.m. |
Created at: March 9, 2026, 3:32 p.m.