Triple

T16847490
Position Surface form Disambiguated ID Type / Status
Subject Sky High E409581 entity
Predicate editedBy P1954 FINISHED
Object Peter Amundson
Peter Amundson is a film editor known for his work on movies such as the superhero comedy "Sky High."
 E1236143 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: [Sky High, editedBy, Peter Amundson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Amundson
Context triple: [Sky High, editedBy, Peter Amundson]
  • A. Peter Amundson
    Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
  • B. 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."
  • 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 best known for his work on movies such as the psychological thriller "The Butterfly Effect."
  • E. 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.
  • 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: [Sky High, editedBy, Peter Amundson]
Generated description
Peter Amundson is a film editor known for his work on movies such as the superhero comedy "Sky High."
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 movies such as the superhero comedy "Sky High."
  • 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 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.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbb628208190b0be62a333e7e442 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.