Triple
T13712752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Cardoni |
E328813
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Vicious Kind
The Vicious Kind is a 2009 dark comedy-drama film about a bitter, insomniac man whose life unravels when his younger brother brings home a new girlfriend for Thanksgiving.
|
E1058050
|
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: The Vicious Kind | Statement: [Jeff Cardoni, notableWork, The Vicious Kind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Vicious Kind Context triple: [Jeff Cardoni, notableWork, The Vicious Kind]
-
A.
Vicious
Vicious is a hip-hop artist known for collaborating with The Hip-Hop Violinist on genre-blending tracks.
-
B.
Vicious
Vicious is a British sitcom starring Derek Jacobi and Ian McKellen as a long-term gay couple navigating their acerbic yet affectionate relationship in London.
-
C.
Vicious World
Vicious World is a song by the American rock band Want One, known for its intense sound and emotionally charged lyrics.
-
D.
The Violent Ones
The Violent Ones is a crime novel by E. Howard Hunt that reflects his hardboiled, politically tinged storytelling style.
-
E.
Savage Grace
Savage Grace is a 2007 psychological drama film, based on a true story, about the troubled Baekeland family and their tragic downfall.
- 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: The Vicious Kind Triple: [Jeff Cardoni, notableWork, The Vicious Kind]
Generated description
The Vicious Kind is a 2009 dark comedy-drama film about a bitter, insomniac man whose life unravels when his younger brother brings home a new girlfriend for Thanksgiving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Vicious Kind Target entity description: The Vicious Kind is a 2009 dark comedy-drama film about a bitter, insomniac man whose life unravels when his younger brother brings home a new girlfriend for Thanksgiving.
-
A.
Vicious
Vicious is a British sitcom starring Derek Jacobi and Ian McKellen as a long-term gay couple navigating their acerbic yet affectionate relationship in London.
-
B.
Vicious
Vicious is a hip-hop artist known for collaborating with The Hip-Hop Violinist on genre-blending tracks.
-
C.
Vicious World
Vicious World is a song by the American rock band Want One, known for its intense sound and emotionally charged lyrics.
-
D.
The Violent Ones
The Violent Ones is a crime novel by E. Howard Hunt that reflects his hardboiled, politically tinged storytelling style.
-
E.
Savage Grace
Savage Grace is a 2007 psychological drama film, based on a true story, about the troubled Baekeland family and their tragic downfall.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f7a15f3c908190be380355972def6e |
completed | May 3, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 9, 2026, 9:54 p.m.