Triple
T7812122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwayne |
E180710
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dewayne |
E180710
|
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: Dewayne | Statement: [Dwayne, hasVariant, Dewayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dewayne Context triple: [Dwayne, hasVariant, Dewayne]
-
A.
Dwayne
chosen
Dwayne is a masculine given name commonly used in English-speaking countries.
-
B.
Benji Dunn
Benji Dunn is a tech-savvy field agent and close ally of Ethan Hunt in the Mission: Impossible film series, known for his blend of comic relief and resourcefulness.
-
C.
Dwayne Bacon
Dwayne Bacon is an American professional basketball player and former Florida State standout who has played in the NBA and overseas.
-
D.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
E.
David Debrandon Brown
David Debrandon Brown is the American singer, songwriter, and R&B artist professionally known as Lucky Daye.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78e198c81909d4fd227f6b71082 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1472ee908190b073819f3dfad8ee |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:38 p.m.