Triple
T13324117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darek |
E317391
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object | Derrick |
E178654
|
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: Derrick | Statement: [Darek, hasAlternativeForm, Derrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derrick Context triple: [Darek, hasAlternativeForm, Derrick]
-
A.
Derrick
chosen
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
B.
Darell
Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
-
C.
Darell
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
-
D.
Derrick Marks
Derrick Marks is an American former college basketball guard best known for starring at Boise State University, where he emerged as one of the Mountain West Conference’s top scorers and leaders.
-
E.
Derek Boone
Derek Boone is an individual notable enough to be recognized as a namesake bearer of the surname Boone.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73979cb4081909e750e2d98869891 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:30 p.m.