Triple
T17870838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hunter |
E446829
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | John Abernethy |
—
|
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: John Abernethy | Statement: [John Hunter, influenced, John Abernethy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Abernethy Context triple: [John Hunter, influenced, John Abernethy]
-
A.
John Abernethy
chosen
John Abernethy was a prominent 18th–19th century English surgeon and anatomist known for his influential teaching and writings that helped shape modern surgical practice.
-
B.
Patrick Abernethy
Patrick Abernethy is a musician best known as a member of the indie rock band Rogue Wave.
-
C.
Donald Calthrop
Donald Calthrop was a British stage and film actor of the early 20th century, known for his character roles in numerous British productions, including several early Alfred Hitchcock films.
-
D.
John Agee
John Agee is the son of American writer and film critic James Agee.
-
E.
John McKinley
John McKinley was an Associate Justice of the U.S. Supreme Court in the mid-19th century, known for his participation in significant cases involving federal power and economic development.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa24c8481909de38953a88ff615 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.