Triple
T21217875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Briley |
E522883
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Briley |
—
|
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 Briley | Statement: [John Briley, name, John Briley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Briley Context triple: [John Briley, name, John Briley]
-
A.
John Briley
chosen
John Briley was an American screenwriter best known for his Academy Award-winning work on the film "Gandhi" and other politically charged dramas.
-
B.
Ed Blaney
Ed Blaney is a British musician best known as a later-period member and collaborator of the post-punk band The Fall.
-
C.
John McCausland
John McCausland was a Confederate brigadier general in the American Civil War, noted for his cavalry leadership and controversial burning of Chambersburg, Pennsylvania.
-
D.
Brian Riley
Brian Riley is an American college ice hockey coach best known for leading the Army West Point Black Knights men’s program.
-
E.
John Rhea
John Rhea was an early American statesman and U.S. Congressman from Tennessee who played a significant role in the state's formative political history.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:42 p.m.