Triple
T22451242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek "Nurse" Nurse |
E554994
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Derek Nurse |
—
|
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: Derek Nurse | Statement: [Derek "Nurse" Nurse, givenName, Derek Nurse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Nurse Context triple: [Derek "Nurse" Nurse, givenName, Derek Nurse]
-
A.
Derek Nurse
Derek Nurse is a linguist renowned for his influential research on Bantu languages and African historical linguistics.
-
B.
Derek Nurse
chosen
Derek Nurse is a fictional Canadian hockey player and one of the main comedic characters on the television series "Letterkenny."
-
C.
Mark "Chopper" Read
Mark "Chopper" Read was a notorious Australian criminal and author whose violent exploits and darkly comic persona made him a prominent figure in Australian crime folklore.
-
D.
Ben Daughtrey
Ben Daughtrey is an American musician best known as the drummer for the influential 1980s Louisville punk band Squirrel Bait.
-
E.
Douglas Baxter
Douglas Baxter is known as the husband of Irish actress Victoria Smurfit.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.