Triple
T20831279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballin Like I’m Kobe |
E512831
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | C-Sick |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Ballin Like I’m Kobe, producer, C-Sick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C-Sick Context triple: [Ballin Like I’m Kobe, producer, C-Sick]
-
A.
C-Sick
chosen
C-Sick is a hip-hop music producer known for crafting beats for prominent rap artists and projects.
-
B.
Krank
Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
-
C.
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.
-
D.
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.
-
E.
Sick Boy
Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.