Triple
T16849213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Autobiography |
E409625
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
C-Sick
C-Sick is a hip-hop music producer known for crafting beats for prominent rap artists and projects.
|
E1236689
|
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: C-Sick | Statement: [The Autobiography, producer, C-Sick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C-Sick Context triple: [The Autobiography, producer, C-Sick]
-
A.
Krank
Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
-
B.
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.
-
C.
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.
-
D.
Sick Boy
Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
-
E.
Love Sick
Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
- 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: C-Sick Triple: [The Autobiography, producer, C-Sick]
Generated description
C-Sick is a hip-hop music producer known for crafting beats for prominent rap artists and projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: C-Sick Target entity description: C-Sick is a hip-hop music producer known for crafting beats for prominent rap artists and projects.
-
A.
Krank
Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
-
B.
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.
-
C.
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.
-
D.
Sick Boy
Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
-
E.
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*.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b377b5d881909f0878dd9957f3bc |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbc80d54819092de4ee363508b49 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.