Triple
T22258242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoot 'Em Up |
E550146
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Peter Amundson
Peter Amundson is a film editor known for his work on action movies, including the stylized shoot-'em-up film "Shoot 'Em Up."
|
E1533510
|
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: Peter Amundson | Statement: [Shoot 'Em Up, editedBy, Peter Amundson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Amundson Context triple: [Shoot 'Em Up, editedBy, Peter Amundson]
-
A.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
B.
Peter Amundson
Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
-
C.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the fantasy film "Dragonheart."
-
D.
Peter Amundson
Peter Amundson is a film editor known for his work on movies such as the superhero comedy "Sky High."
-
E.
Peter Amundson
Peter Amundson is a film editor best known for his work on movies such as the psychological thriller "The Butterfly Effect."
- 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: Peter Amundson Triple: [Shoot 'Em Up, editedBy, Peter Amundson]
Generated description
Peter Amundson is a film editor known for his work on action movies, including the stylized shoot-'em-up film "Shoot 'Em Up."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Amundson Target entity description: Peter Amundson is a film editor known for his work on action movies, including the stylized shoot-'em-up film "Shoot 'Em Up."
-
A.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
B.
Peter Amundson
Peter Amundson is a film editor best known for his work on movies such as the psychological thriller "The Butterfly Effect."
-
C.
Peter Amundson
Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
-
D.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the fantasy film "Dragonheart."
-
E.
Peter Amundson
Peter Amundson is a film editor known for his work on movies such as the superhero comedy "Sky High."
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c4bff48190b4be83f5f7677ac8 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9a5e1448190845c2126680bff3d |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea4e49ec8190919e071fd71e62ae |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeab115c48190859f25e37e0eefe8 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:39 p.m.