Triple

T2008048
Position Surface form Disambiguated ID Type / Status
Subject On the Beach E43629 entity
Predicate editor P1954 FINISHED
Object Frederic Knudtson E238104 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: Frederic Knudtson | Statement: [On the Beach, editor, Frederic Knudtson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederic Knudtson
Context triple: [On the Beach, editor, Frederic Knudtson]
  • A. Frederic Knudtson chosen
    Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
  • B. Sten Carl Bielke
    Sten Carl Bielke was an 18th-century Swedish statesman and scientist who played a key role in advancing scientific institutions in Sweden.
  • C. 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."
  • D. Gunnar Wejke
    Gunnar Wejke was a Swedish architect known for co-designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
  • E. Emil Sodersten
    Emil Sodersten was a prominent Australian architect of the early 20th century, noted for his influential modernist and Art Deco designs.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71a7e3408190955aa7f2534316dc completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:37 p.m.