Triple
T9552938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Duff |
E230466
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brute Force |
E527859
|
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: Brute Force | Statement: [Howard Duff, notableWork, Brute Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brute Force Context triple: [Howard Duff, notableWork, Brute Force]
-
A.
Brute Force
chosen
"Brute Force" is a 1947 film noir prison drama known for its brutal realism and ensemble cast, including Yvonne De Carlo and Burt Lancaster.
-
B.
Brute.
Brute. was a collaborative side project featuring members of Widespread Panic and singer-songwriter Vic Chesnutt, known for blending Southern rock and introspective folk.
-
C.
Brutal
Brutal is the nickname of Brutus "Brutal" Howell, a character known as a large but kind-hearted prison guard in Stephen King's story "The Green Mile."
-
D.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
E.
Bulletproof
Bulletproof is a film featuring Filipino actor Cesar Montano in a prominent role.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15286f7c881909258b9f06a81e464 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.