Triple
T21398931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brute Force |
E527859
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Howard Duff |
—
|
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: Howard Duff | Statement: [Brute Force, starring, Howard Duff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Duff Context triple: [Brute Force, starring, Howard Duff]
-
A.
Howard Duff
chosen
Howard Duff was an American actor known for his work in film, radio, and television, including notable roles in classic noir and mid-20th-century dramas.
-
B.
June Winchell
June Winchell was the wife of influential American newspaper and radio gossip columnist Walter Winchell.
-
C.
Truman Seymour
Truman Seymour was a Union Army general and career U.S. Army officer who served in the Mexican–American War, the American Civil War, and later as an artist.
-
D.
Hamilton MacFadden
Hamilton MacFadden was an American film director and actor active in early Hollywood, known for his work in the 1930s studio system.
-
E.
Broderick Crawford
Broderick Crawford was an American actor best known for his Academy Award-winning role in the film "All the King's Men" and for starring in the television series "Highway Patrol."
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.