Triple
T3988783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnivàle |
E86936
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Daniel Knauf |
E491854
|
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: Daniel Knauf | Statement: [Carnivàle, executiveProducer, Daniel Knauf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Knauf Context triple: [Carnivàle, executiveProducer, Daniel Knauf]
-
A.
Daniel Knauf
chosen
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
B.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
C.
Dennis Krausnick
Dennis Krausnick was an American actor, director, and educator best known as a co-founder and longtime artistic leader of the Shakespeare & Company theatre in Lenox, Massachusetts.
-
D.
Dennis Weilmann
Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
-
E.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa007344819099515fda367f7016 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec336e95881908c18b304b6d92411 |
completed | March 21, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:33 p.m.