Triple
T14655318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violent Night |
E344093
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Matthew Weston
Matthew Weston is a cinematographer known for his work on the action-comedy Christmas film "Violent Night."
|
E1112914
|
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: Matthew Weston | Statement: [Violent Night, cinematographyBy, Matthew Weston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Weston Context triple: [Violent Night, cinematographyBy, Matthew Weston]
-
A.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
-
B.
David Westhead
David Westhead is a British actor known for his work in film, television, and theatre, often appearing in character roles in UK dramas and comedies.
-
C.
Anthony Peckham
Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
-
D.
Andrew Boswell
Andrew Boswell is a music producer best known for his work on the hit song "Walking on Sunshine."
-
E.
David Fursdon
David Fursdon is a British public servant and landowner who serves as the ceremonial representative of the Crown in the county of Devon.
- 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: Matthew Weston Triple: [Violent Night, cinematographyBy, Matthew Weston]
Generated description
Matthew Weston is a cinematographer known for his work on the action-comedy Christmas film "Violent Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Weston Target entity description: Matthew Weston is a cinematographer known for his work on the action-comedy Christmas film "Violent Night."
-
A.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
-
B.
David Westhead
David Westhead is a British actor known for his work in film, television, and theatre, often appearing in character roles in UK dramas and comedies.
-
C.
Anthony Peckham
Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
-
D.
Andrew Boswell
Andrew Boswell is a music producer best known for his work on the hit song "Walking on Sunshine."
-
E.
David Fursdon
David Fursdon is a British public servant and landowner who serves as the ceremonial representative of the Crown in the county of Devon.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fddd8d7da481909d38d9390770939c |
completed | May 8, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdde23da708190b7eabeed6a9cb169 |
completed | May 8, 2026, 12:59 p.m. |
Created at: April 10, 2026, 1:27 a.m.