Triple
T2619105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chainsmokers |
E58960
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sick Boy
"Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
|
E283117
|
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: Sick Boy | Statement: [The Chainsmokers, notableWork, Sick Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sick Boy Context triple: [The Chainsmokers, notableWork, Sick Boy]
-
A.
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.
-
B.
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*.
-
C.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
D.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
-
E.
It's Bad for Ya
"It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
- 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: Sick Boy Triple: [The Chainsmokers, notableWork, Sick Boy]
Generated description
"Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sick Boy Target entity description: "Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
-
A.
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.
-
B.
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*.
-
C.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
D.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
-
E.
It's Bad for Ya
"It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8962b348190a059519778ea4dba |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af908ba2908190b535d96c6f0e76ba |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af914ebc80819091524d1a4c316337 |
completed | March 10, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91cc03648190936adfcccb6017de |
completed | March 10, 2026, 3:36 a.m. |
Created at: March 6, 2026, 9:50 p.m.