Triple
T18066048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland B. Dixon |
E432295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dixon |
—
|
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: Dixon | Statement: [Roland B. Dixon, familyName, Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dixon Context triple: [Roland B. Dixon, familyName, Dixon]
-
A.
Dixon
chosen
Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
-
B.
Dixon
Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
-
C.
Dillon
Dillon is the middle name of famed American baseball player and manager Casey Stengel.
-
D.
Dillon
Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
-
E.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.