Triple
T14206572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Haze |
E352108
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Killa Cam |
E1086827
|
NE FINISHED |
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: Killa Cam | Statement: [Purple Haze, hasTrack, Killa Cam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killa Cam Context triple: [Purple Haze, hasTrack, Killa Cam]
-
A.
Killa Cam
chosen
Killa Cam is the stage alias of Cam'ron, a prominent Harlem-born rapper and member of the hip-hop collective The Diplomats.
-
B.
Killa Black
Killa Black is a rapper associated with the Wu-Tang Clan-affiliated collective Theodore Unit.
-
C.
Killa
Killa is the Aymara or Quechua name for Killa Island, a location whose name derives from Indigenous Andean languages.
-
D.
Killa Sin
Killa Sin is an American rapper best known as a prominent affiliate of the Wu-Tang Clan through his work with the group Killarmy.
-
E.
Shaun Killa
Shaun Killa is a Dubai-based architect best known for designing innovative, sustainability-focused landmark structures such as the Museum of the Future.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324b86748190b3e0a39383969cc7 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:05 a.m.