Triple
T17743715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorian Gregory |
E442928
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dorian Gregory |
—
|
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: Dorian Gregory | Statement: [Dorian Gregory, name, Dorian Gregory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorian Gregory Context triple: [Dorian Gregory, name, Dorian Gregory]
-
A.
Dorian Gregory
chosen
Dorian Gregory is an American actor and television host best known for his role on the series "Charmed" and for co-hosting the long-running music and dance show "Soul Train."
-
B.
Dorian Lough
Dorian Lough is a British actor known for his work in film and television, including roles in crime dramas and independent productions.
-
C.
Dorian Courtney
Dorian Courtney is the central protagonist of the work "Monsoon," around whom the story’s main events and character development revolve.
-
D.
Dorian Crozier
Dorian Crozier is a music producer and drummer known for his studio work and collaborations with various rock and pop artists.
-
E.
Dorian Healy
Dorian Healy is a British actor best known for his roles in film and television dramas, particularly in the late 20th century.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.