Triple
T20274111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Corwin |
E502965
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Corwin |
—
|
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: Jeff Corwin | Statement: [Jeff Corwin, name, Jeff Corwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Corwin Context triple: [Jeff Corwin, name, Jeff Corwin]
-
A.
Jeff Corwin
chosen
Jeff Corwin is an American wildlife biologist and television host best known for his nature and animal conservation programs on channels like Animal Planet and Discovery.
-
B.
Tim Starling
Tim Starling is a software engineer best known for his long-time work as a MediaWiki developer and contributor to the Wikimedia Foundation’s technical infrastructure.
-
C.
Steve Backshall
Steve Backshall is a British naturalist, wildlife presenter, and author best known for hosting the BBC series "Deadly 60" and other adventure and nature documentaries.
-
D.
Ann Orlowski
Ann Orlowski is a composer known for writing the song "Rubber Ball."
-
E.
Jasper Hawes
Jasper Hawes was a historical figure, likely a fur trader or early settler associated with the Canadian Rockies region, after whom the town of Jasper, Alberta, was named.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e104f081909d17c1963a5db528 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:31 a.m.