Triple
T16441135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. Duke Vincent |
E399304
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | E. Duke Vincent |
E399304
|
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: E. Duke Vincent | Statement: [E. Duke Vincent, name, E. Duke Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. Duke Vincent Context triple: [E. Duke Vincent, name, E. Duke Vincent]
-
A.
E. Duke Vincent
chosen
E. Duke Vincent is an American television producer best known for his work on popular prime-time dramas, including the hit series "Beverly Hills, 90210."
-
B.
Mortimer Duke
Mortimer Duke is a wealthy, manipulative commodities broker and one of the scheming Duke brothers in the 1983 comedy film "Trading Places."
-
C.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
-
D.
David Dukes
David Dukes was an American character actor known for his extensive work in film, television, and theater from the 1970s through the 1990s.
-
E.
Duke Evers
Duke Evers is a man known primarily as the grandfather-in-law of Donnie.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba7fb0c8190a6a872705cd38987 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458dde8881909778c9964ddc8efa |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.