Triple
T12587835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamont Dozier |
E300514
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dozier |
E637253
|
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: Dozier | Statement: [Lamont Dozier, familyName, Dozier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dozier Context triple: [Lamont Dozier, familyName, Dozier]
-
A.
Dozier
chosen
Dozier is a small town located in Crenshaw County in the state of Alabama, United States.
-
B.
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.
-
C.
Devorski
Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
-
D.
Doyel
Doyel is an alternative spelling or variant form of the surname Doyle, which is of Irish origin.
-
E.
Dysart
Dysart is a historic coastal town in Fife, Scotland, known for its old harbour, preserved pan-tiled buildings, and role as a filming location in the TV series "Outlander."
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:05 p.m.