Triple
T9418631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherokee |
E227091
|
entity |
| Predicate | notableLeader |
P304
|
FINISHED |
| Object | John Ross |
E193044
|
NE FINISHED |
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 Ross | Statement: [Cherokee, notableLeader, John Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ross Context triple: [Cherokee, notableLeader, John Ross]
-
A.
John Ross
chosen
John Ross was a prominent 19th-century Cherokee chief who led his people through the era of forced removal known as the Trail of Tears.
-
B.
John Ross
John Ross was the first husband of Betsy Ross, traditionally credited with helping her establish an upholstery business in Philadelphia before his early death during the American Revolutionary era.
-
C.
John Ross
John Ross was a 19th-century Scottish naval officer and Arctic explorer noted for his early expeditions in search of the Northwest Passage.
-
D.
Frank Ross
Frank Ross was an American film producer known for his work on major mid-20th-century Hollywood productions.
-
E.
John Marsh
John Marsh was the husband of American novelist Margaret Mitchell, best known for supporting her during the creation of "Gone with the Wind."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c4d73881909ac38781fe90b1da |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.