Triple

T16392155
Position Surface form Disambiguated ID Type / Status
Subject Godzilla (1998 film) E398080 entity
Predicate editedBy P1954 FINISHED
Object Peter Amundson E1028465 NE FINISHED

How this triple was built (2 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: [Godzilla (1998 film), editedBy, Peter Amundson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Amundson
Context triple: [Godzilla (1998 film), 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 chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f439d048190bf779cb263b7c7a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:08 a.m.