Triple
T14841461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Brent |
E348974
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Brent |
E348974
|
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: George Brent | Statement: [George Brent, name, George Brent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Brent Context triple: [George Brent, name, George Brent]
-
A.
George Brent
chosen
George Brent was an Irish-American leading man of 1930s and 1940s Hollywood cinema, known for his suave screen presence opposite stars like Bette Davis.
-
B.
Michael Wilding
Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
-
C.
Colin Clive
Colin Clive was a British actor best known for his iconic portrayal of Dr. Henry Frankenstein in the classic 1930s horror films "Frankenstein" and "Bride of Frankenstein."
-
D.
Richard Arlen
Richard Arlen was an American film actor best known for his roles in early Hollywood, particularly in silent and early sound-era adventure and war films.
-
E.
Brian Donlevy
Brian Donlevy was an American film actor known for his tough-guy roles in Hollywood classics of the 1930s and 1940s, including several notable Westerns and war films.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28fa49c81908d1059e6cafd607f |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fe89e88190912cd205feef85d3 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.