Triple
T2991877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek |
E80773
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Derick |
E80773
|
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: Derick | Statement: [Derek, hasVariant, Derick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derick Context triple: [Derek, hasVariant, Derick]
-
A.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
B.
Derek
chosen
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
C.
Drederick Irving
Drederick Irving is a former American professional basketball player best known as the father of NBA star Kyrie Irving.
-
D.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
E.
Demis
Demis is the given name of Demis Hassabis, a prominent AI researcher and co-founder of DeepMind.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109039cfc8190a286c83df752967e |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.