Triple
T17386169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Nelson Cole |
E422692
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Cole | Statement: [Frank Nelson Cole, familyName, Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cole Context triple: [Frank Nelson Cole, familyName, Cole]
-
A.
Cole
Cole is a given name most famously associated with American composer and songwriter Cole Porter.
-
B.
Cole
chosen
Cole is a common English surname borne by numerous notable figures across politics, arts, sports, and academia.
-
C.
Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
-
D.
Cal Coons
Cal Coons is a Canadian television writer and producer best known for developing and showrunning the long-running period detective series "Murdoch Mysteries."
-
E.
Jack Cole
Jack Cole was an influential American dancer and choreographer often regarded as the father of theatrical jazz dance, known for his innovative work on Broadway and in Hollywood films.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a89c5008190a277a68e5cfe67b7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.