Triple
T10804956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickey Betts |
E254937
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dickey |
E621012
|
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: Dickey | Statement: [Dickey Betts, nickname, Dickey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dickey Context triple: [Dickey Betts, nickname, Dickey]
-
A.
Dickey
chosen
Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
-
B.
Dickson
Dickson is a Scottish surname borne by various notable individuals across fields such as music, literature, and public life.
-
C.
Dickie
Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
-
D.
Dale Dickey
Dale Dickey is an American character actress known for her gritty, memorable supporting roles in independent films and television dramas such as "Winter's Bone" and "Breaking Bad."
-
E.
Coker
Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733726e2881908d4fe2cfe046ab43 |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de567a7ea0819088a2fa10f8367d89 |
completed | April 14, 2026, 3 p.m. |
Created at: April 8, 2026, 9:18 p.m.