Triple
T17608976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross, California |
E428915
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | James Ross |
—
|
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: James Ross | Statement: [Ross, California, namedAfter, James Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Ross Context triple: [Ross, California, namedAfter, James Ross]
-
A.
James Ross
chosen
James Ross was a 19th-century landowner and businessman after whom the town of Ross, California, is named.
-
B.
James Ross
James Ross was a notable individual interred at Mount Pleasant Cemetery in Toronto, likely recognized for significant contributions to Canadian public, cultural, or professional life.
-
C.
Alan Cunningham
Alan Cunningham was a British Army general best known for leading Eighth Army forces in the North African campaign during World War II.
-
D.
Alexander Ross
Alexander Ross was a 19th-century Scottish architect noted for designing prominent ecclesiastical buildings in the Highlands.
-
E.
William Ross
William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4e6ba48190804e113983e7c704 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.