Triple
T21763722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Sexsmith |
E537225
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ron Sexsmith |
—
|
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: Ron Sexsmith | Statement: [Ron Sexsmith, name, Ron Sexsmith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Sexsmith Context triple: [Ron Sexsmith, name, Ron Sexsmith]
-
A.
Ron Sexsmith
chosen
Ron Sexsmith is a Canadian singer-songwriter known for his melodic, introspective pop songs and critically acclaimed, understated vocal style.
-
B.
Andrew Sharp
Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
-
C.
Murray McLauchlan
Murray McLauchlan is a Canadian singer-songwriter known for his folk and country-influenced storytelling songs and multiple Juno Award wins.
-
D.
Mick Harvey
Mick Harvey is an Australian musician, songwriter, and producer best known as a founding member of Nick Cave and the Bad Seeds and for his extensive film score work.
-
E.
John Butler
John Butler was a prominent Loyalist military leader during the American Revolutionary War, best known for commanding Butler's Rangers in frontier campaigns against American revolutionaries.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.