Triple
T22390197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where We Are |
E553491
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Kreuger |
—
|
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: David Kreuger | Statement: [Where We Are, producer, David Kreuger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kreuger Context triple: [Where We Are, producer, David Kreuger]
-
A.
David Kreuger
chosen
David Kreuger is a Swedish music producer and songwriter known for his work on late-1990s and early-2000s pop hits, particularly within the Cheiron Studios team.
-
B.
John Kruger
John Kruger is the tough, resourceful U.S. Marshal protagonist in the 1996 action film "Eraser," portrayed by Arnold Schwarzenegger.
-
C.
Alan Durband
Alan Durband was a British teacher, writer, and influential drama educator from Liverpool, known for his popular guides to Shakespeare and his impact on English education.
-
D.
Lugosi
Lugosi is a Hungarian surname most famously associated with actor Bela Lugosi, renowned for his iconic portrayal of Count Dracula in early horror cinema.
-
E.
J.C. Le Roux
J.C. Le Roux is a South African sparkling wine producer known for its range of Méthode Cap Classique and other sparkling wines.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.