Triple
T5061963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derrick Brooks |
E114042
|
entity |
| Predicate | givenName |
P17
|
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: [Derrick Brooks, givenName, Derrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derrick Context triple: [Derrick Brooks, givenName, Derrick]
-
A.
Derrick
chosen
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
B.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
C.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
D.
Derek
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Derek Dixie
Derek Dixie is a music producer and arranger best known for his work with major artists like Beyoncé, contributing to acclaimed live performances and recordings.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74740ae08190930f1fd57187334e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49566548190bc6328996789ad9f |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.