Triple

T8684983
Position Surface form Disambiguated ID Type / Status
Subject The Mask of Dimitrios E206134 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: [The Mask of Dimitrios, editor, Frederic Knudtson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederic Knudtson
Context triple: [The Mask of Dimitrios, 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. Christian Lundeberg
    Christian Lundeberg was a Swedish conservative politician who briefly served as Prime Minister of Sweden in 1905 during the dissolution of the union with Norway.
  • C. Francis Hagerup
    Francis Hagerup was a Norwegian lawyer, diplomat, and Conservative politician who served twice as Prime Minister of Norway around the turn of the 20th century.
  • D. 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.
  • E. Gunnar Sommerfeldt
    Gunnar Sommerfeldt was a Danish film director and actor active in the early 20th century, known for his work in Scandinavian silent cinema.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.