Triple
T15566908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cashback |
E371139
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Angus Hudson
Angus Hudson is a cinematographer known for his work on the British crime film "Cashback."
|
E1199689
|
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: Angus Hudson | Statement: [Cashback, cinematographyBy, Angus Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angus Hudson Context triple: [Cashback, cinematographyBy, Angus Hudson]
-
A.
Angus Anderson
Angus Anderson was a co-founder of Arrow Development, an American company known for designing and building pioneering amusement park rides and roller coasters.
-
B.
Angus Wright
Angus Wright is a British actor known for his work in film, television, and theatre, often appearing in dramas and period pieces.
-
C.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Gavin Dunbar
Gavin Dunbar was a 16th-century Scottish bishop and royal official known for his influential role in church and civic affairs, including major building and charitable projects.
- 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: Angus Hudson Triple: [Cashback, cinematographyBy, Angus Hudson]
Generated description
Angus Hudson is a cinematographer known for his work on the British crime film "Cashback."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angus Hudson Target entity description: Angus Hudson is a cinematographer known for his work on the British crime film "Cashback."
-
A.
Angus Anderson
Angus Anderson was a co-founder of Arrow Development, an American company known for designing and building pioneering amusement park rides and roller coasters.
-
B.
Angus Wright
Angus Wright is a British actor known for his work in film, television, and theatre, often appearing in dramas and period pieces.
-
C.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Gavin Dunbar
Gavin Dunbar was a 16th-century Scottish bishop and royal official known for his influential role in church and civic affairs, including major building and charitable projects.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee31b70819092d0583100a7101a |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00029e85388190bccc4a1996e1738e |
completed | May 10, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003031a4c8190887000d0179e07e5 |
completed | May 10, 2026, 4:01 a.m. |
Created at: April 10, 2026, 4:10 a.m.