Triple

T11694259
Position Surface form Disambiguated ID Type / Status
Subject Bundle of Joy E277950 entity
Predicate editedBy 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: [Bundle of Joy, editedBy, Frederic Knudtson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederic Knudtson
Context triple: [Bundle of Joy, editedBy, 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. Charles Stenholm
    Charles Stenholm is a former long-serving Democratic U.S. Representative from Texas known for his conservative "Blue Dog" positions and influential role on agricultural policy.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.