Triple
T14487557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon: The Bruce Lee Story |
E359274
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Peter Amundson
Peter Amundson is a film editor known for his work on major Hollywood productions, including action and genre films.
|
E10601
|
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: [Dragon: The Bruce Lee Story, editedBy, Peter Amundson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Amundson Context triple: [Dragon: The Bruce Lee Story, 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 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 Lauritson
Peter Lauritson is a television and film producer best known for his extensive work on the Star Trek franchise, including multiple series and feature films.
-
E.
Paul Norling
Paul Norling is a film editor known for his work on the thriller "While She Was Out."
- 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: [Dragon: The Bruce Lee Story, editedBy, Peter Amundson]
Generated description
Peter Amundson is a film editor known for his work on major Hollywood productions, including action and genre films.
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 major Hollywood productions, including action and genre films.
-
A.
Peter Amundson
chosen
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 Lauritson
Peter Lauritson is a television and film producer best known for his extensive work on the Star Trek franchise, including multiple series and feature films.
-
E.
Paul Norling
Paul Norling is a film editor known for his work on the thriller "While She Was Out."
- F. None of above.
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8f1bf081908c37f8f41767b382 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6faa43808190a9fe934f8f472a61 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd700572e48190aa9bbb544a25796e |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:20 a.m.