Triple
T2720206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Kennedy Laurie Dickson |
E60063
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dickson |
E109715
|
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: Dickson | Statement: [William Kennedy Laurie Dickson, familyName, Dickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dickson Context triple: [William Kennedy Laurie Dickson, familyName, Dickson]
-
A.
Dickson
chosen
Dickson is a Scottish surname borne by various notable individuals across fields such as music, literature, and public life.
-
B.
Dixon
Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
-
C.
Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
D.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
E.
Fisher
Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68ebd0081908bb360872d559e1f |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.