Triple
T1864837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Eleven |
E34895
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
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.
|
E208298
|
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: So Sick | Statement: [Two Eleven, hasPart, So Sick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Sick Context triple: [Two Eleven, hasPart, So Sick]
-
A.
Love Sick
"Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
-
B.
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.
-
C.
Sick To My Stomach
"Sick To My Stomach" is a song by American singer Rebecca Black, known for its emotionally charged lyrics and pop production.
-
D.
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*.
-
E.
Sicko Mode
"Sicko Mode" is a multi-part, genre-blending hip-hop track by Travis Scott featuring Drake that became a major commercial and cultural hit.
- 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: So Sick Triple: [Two Eleven, hasPart, So Sick]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Sick Target entity description: "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.
-
A.
Love Sick
"Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
-
B.
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.
-
C.
Sick To My Stomach
"Sick To My Stomach" is a song by American singer Rebecca Black, known for its emotionally charged lyrics and pop production.
-
D.
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*.
-
E.
Sicko Mode
"Sicko Mode" is a multi-part, genre-blending hip-hop track by Travis Scott featuring Drake that became a major commercial and cultural hit.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a208e481908406c008f700a585 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d540c0819099558507bdf2ffa4 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add2c4943c81909ff3163330aa4f80 |
completed | March 8, 2026, 7:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add38c2b3c8190b0f33bc36d475a63 |
completed | March 8, 2026, 7:52 p.m. |
Created at: March 4, 2026, 7:34 p.m.