Triple
T14191393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Tools |
E351720
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dreddy Kruger |
E1069905
|
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: Dreddy Kruger | Statement: [Pro Tools, producer, Dreddy Kruger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreddy Kruger Context triple: [Pro Tools, producer, Dreddy Kruger]
-
A.
Dreddy Kruger
chosen
Dreddy Kruger is a hip-hop producer and A&R best known for his work with the Wu-Tang Clan and for founding the independent label Think Differently Music.
-
B.
Gabriel Slaughter
Gabriel Slaughter was an early 19th-century American politician who served as governor of Kentucky.
-
C.
Wikus van de Merwe
Wikus van de Merwe is the bumbling South African bureaucrat who becomes the reluctant, transforming protagonist at the center of the sci-fi film "District 9."
-
D.
Agent M. Kruger
Agent M. Kruger is a ruthless, psychopathic mercenary and sleeper agent who serves as the primary antagonist enforcing the elite's will in the 2013 science fiction film "Elysium."
-
E.
Dirkie Uys
Dirkie Uys was a young Voortrekker hero of South African history, remembered for his bravery and death alongside his father during conflicts with the Zulu in the 1830s.
- 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_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.