Triple

T12934178
Position Surface form Disambiguated ID Type / Status
Subject Daylight E309460 entity
Predicate editedBy P1954 FINISHED
Object Peter Amundson
Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
E1028465 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: [Daylight, editedBy, Peter Amundson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Amundson
Context triple: [Daylight, 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 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.
  • D. Paul Norling
    Paul Norling is a film editor known for his work on the thriller "While She Was Out."
  • E. Christian Nyby
    Christian Nyby was an American film editor and director best known for his work on classic Hollywood films and for directing the influential science fiction movie "The Thing from Another World" (1951).
  • 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: [Daylight, editedBy, Peter Amundson]
Generated description
Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
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 the thriller "Daylight."
  • 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 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.
  • D. Paul Norling
    Paul Norling is a film editor known for his work on the thriller "While She Was Out."
  • E. Christian Nyby
    Christian Nyby was an American film editor and director best known for his work on classic Hollywood films and for directing the influential science fiction movie "The Thing from Another World" (1951).
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc6517481908637781da240b51f completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fefdd3d8819091196f68c2fd5ad0 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f703be3d8c8190aa004eb15dfdc98e completed May 3, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69f70441c874819097e91125667a41f5 completed May 3, 2026, 8:16 a.m.
Created at: April 9, 2026, 5:42 p.m.