Triple
T18710269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Davi |
E457486
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | The Dukes |
—
|
NE NERFINISHED |
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: The Dukes | Statement: [Robert Davi, hasActedIn, The Dukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Dukes Context triple: [Robert Davi, hasActedIn, The Dukes]
-
A.
The Dukes
The Dukes are Steve Earle’s longtime backing band, known for their gritty blend of country, rock, and Americana on many of his recordings and tours.
-
B.
The Dukes
The Dukes is an animated television series that follows the adventures of the Duke family from The Dukes of Hazzard in a more family-friendly, cartoon format.
-
C.
The Dukes
The Dukes is a prominent theatre and arts venue in Lancaster, England, known for its diverse live performances and cultural programming.
-
D.
The Dukes
chosen
The Dukes is a 2007 comedy-drama film about a washed-up doo-wop group attempting a comeback through an ill-fated heist.
-
E.
Dukes
The Dukes are the athletic teams representing Duquesne University in collegiate sports competitions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.