Triple
T17859596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osborne Colson |
E446032
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Osborne Colson |
—
|
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: Osborne Colson | Statement: [Osborne Colson, name, Osborne Colson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osborne Colson Context triple: [Osborne Colson, name, Osborne Colson]
-
A.
Osborne Colson
chosen
Osborne Colson was a prominent Canadian figure skating coach and former national champion known for mentoring several elite skaters.
-
B.
Osborne Cox
Osborne Cox is a disgruntled, recently fired CIA analyst whose personal and professional unraveling drives much of the darkly comic chaos in the film "Burn After Reading."
-
C.
David Munson Osborne
David Munson Osborne was a prominent 19th-century American agricultural industrialist and manufacturer known for his successful farm machinery business in Auburn, New York.
-
D.
William Osborne
William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
-
E.
Williston Jones
Williston Jones was an American educator and religious leader best known as the founder of Coe College in Cedar Rapids, Iowa.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978f34948190a25deb4fd617ad72 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.