Triple
T23100873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold and the Crackle |
E576021
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Tim Cole |
—
|
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: Tim Cole | Statement: [Cold and the Crackle, hasContributor, Tim Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Cole Context triple: [Cold and the Crackle, hasContributor, Tim Cole]
-
A.
Tim Cole
chosen
Tim Cole is an Australian musician best known as a member of the ambient/world music group Not Drowning, Waving.
-
B.
Neil Cole
Neil Cole is a British television presenter and comedian known for his work on various UK and international entertainment and music shows.
-
C.
Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
-
D.
Steve Cole
Steve Cole is a British author best known for writing children’s and young adult fiction, including official continuations of the Young Bond series.
-
E.
Ted Cole
Ted Cole is a central fictional character in John Irving’s novel "A Widow for One Year," portrayed as a charismatic yet deeply flawed children’s book author whose personal tragedies and infidelities shape much of the story’s emotional landscape.
- 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.