Triple
T18161205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carson Park |
E434764
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | William Carson |
—
|
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: William Carson | Statement: [Carson Park, namedAfter, William Carson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Carson Context triple: [Carson Park, namedAfter, William Carson]
-
A.
William Carson
chosen
William Carson was a prominent 19th-century lumber baron in Eureka, California, whose wealth and status are epitomized by the ornate Victorian Carson Mansion built as his residence.
-
B.
John McClelland
John McClelland was a Canadian publisher best known as the co-founder and driving force behind the influential publishing house McClelland and Stewart.
-
C.
Edward Nixon
Edward Nixon was the youngest brother of U.S. President Richard Nixon, known for his work as a geologist and author.
-
D.
Lloyd Dallas
Lloyd Dallas is the harried, sharp-tongued theatre director at the center of the farcical chaos in Michael Frayn's play "Noises Off."
-
E.
Jack Couffer
Jack Couffer is an American cinematographer and filmmaker best known for his nature and wildlife photography in documentaries and feature films.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec21e6081909070491f679c873c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.