Triple
T23100875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold and the Crackle |
E576021
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Arne Hanna |
—
|
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: Arne Hanna | Statement: [Cold and the Crackle, hasContributor, Arne Hanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arne Hanna Context triple: [Cold and the Crackle, hasContributor, Arne Hanna]
-
A.
Arne Hanna
chosen
Arne Hanna is a musician best known as a member of the Australian ambient/world music band Not Drowning, Waving.
-
B.
Arnold Eidus
Arnold Eidus was an American classical violinist and recording artist known for his virtuosity and work as a soloist and studio musician in the mid-20th century.
-
C.
Sven Arnstein
Sven Arnstein is a British photographer and television director best known for his marriage to actress Amanda Burton.
-
D.
Gunnar Kaasen
Gunnar Kaasen was a Norwegian-American musher best known for leading the dog team that completed the final leg of the 1925 serum run to Nome, helping deliver life-saving diphtheria antitoxin.
-
E.
Arne Andersen
Arne Andersen is a person notable enough to be recognized as a significant bearer of the surname Andersen.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.