Triple
T20478597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loren Dean |
E502391
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Loren Dean |
—
|
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: Loren Dean | Statement: [Loren Dean, name, Loren Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loren Dean Context triple: [Loren Dean, name, Loren Dean]
-
A.
Loren Dean
chosen
Loren Dean is an American actor known for his roles in films such as "Mumford," "Enemy of the State," and "Gattaca."
-
B.
Dale Eunson
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
-
C.
Dale Winton
Dale Winton was a British television and radio presenter best known for hosting the game show "Supermarket Sweep" and various BBC entertainment programs.
-
D.
Herb Dean
Herb Dean is a renowned American mixed martial arts referee best known for officiating high-profile UFC bouts.
-
E.
Phil Olsen
Phil Olsen is a former American football defensive lineman who played in the NFL, notably for the Los Angeles Rams, and is the younger brother of Hall of Famer Merlin Olsen.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.