Triple
T19861749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Donna |
E477281
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Waddy Wachtel |
—
|
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: Waddy Wachtel | Statement: [Bella Donna, featuresArtist, Waddy Wachtel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waddy Wachtel Context triple: [Bella Donna, featuresArtist, Waddy Wachtel]
-
A.
Waddy Wachtel
chosen
Waddy Wachtel is an American guitarist, songwriter, and record producer best known for his prolific session work and collaborations with major rock and pop artists since the 1970s.
-
B.
Charlie Wachtel
Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
-
C.
Elmer Wachtel
Elmer Wachtel was an American landscape painter associated with early 20th-century California Impressionism.
-
D.
Bernie Kukoff
Bernie Kukoff is an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
-
E.
Louis Garfinkle
Louis Garfinkle was an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589b3cbc8190afe847e83f04c45b |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.