Triple
T5551014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne De Carlo |
E145524
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Brute Force
"Brute Force" is a 1947 film noir prison drama known for its brutal realism and ensemble cast, including Yvonne De Carlo and Burt Lancaster.
|
E527859
|
NE FINISHED |
How this triple was built (4 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: [Yvonne De Carlo, notableWork, Brute Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brute Force Context triple: [Yvonne De Carlo, notableWork, Brute Force]
-
A.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
B.
Bulletproof
"Bulletproof" is a hard rock song by the American band Godsmack, released as a single from their 2018 album "When Legends Rise."
-
C.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
D.
Breaking and Entering
Breaking and Entering is a 2006 British drama film exploring themes of infidelity, immigration, and moral ambiguity in contemporary London.
-
E.
Blind Fury
Blind Fury is a 1989 action film about a blind Vietnam veteran and master swordsman who protects a young boy from ruthless criminals.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brute Force Triple: [Yvonne De Carlo, notableWork, Brute Force]
Generated description
"Brute Force" is a 1947 film noir prison drama known for its brutal realism and ensemble cast, including Yvonne De Carlo and Burt Lancaster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brute Force Target entity description: "Brute Force" is a 1947 film noir prison drama known for its brutal realism and ensemble cast, including Yvonne De Carlo and Burt Lancaster.
-
A.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
B.
Bulletproof
"Bulletproof" is a hard rock song by the American band Godsmack, released as a single from their 2018 album "When Legends Rise."
-
C.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
D.
Breaking and Entering
Breaking and Entering is a 2006 British drama film exploring themes of infidelity, immigration, and moral ambiguity in contemporary London.
-
E.
Blind Fury
Blind Fury is a 1989 action film about a blind Vietnam veteran and master swordsman who protects a young boy from ruthless criminals.
- F. None of above. chosen
Provenance (5 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0283101dc8190a52ef2edbb523e78 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c033e0043881908c9fca5138398188 |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034664c808190b382f7aad0e3149a |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:35 p.m.