Triple
T4679103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Dickson |
E103753
|
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: [Tommy Dickson, familyName, Dickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dickson Context triple: [Tommy 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.
Collip
Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
-
D.
Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
E.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636acffc819094e03c5bb53203d8 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a497ac8190bd278a4bd531aa45 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.