Triple

T7354906
Position Surface form Disambiguated ID Type / Status
Subject Grumpy Old Men E169597 entity
Predicate cinematographyBy P1953 FINISHED
Object Johnny E. Jensen E602834 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: Johnny E. Jensen | Statement: [Grumpy Old Men, cinematographyBy, Johnny E. Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny E. Jensen
Context triple: [Grumpy Old Men, cinematographyBy, Johnny E. Jensen]
  • A. Johnny E. Jensen chosen
    Johnny E. Jensen is a Danish-born American cinematographer known for his work on numerous films and television productions.
  • B. Lowell Jensen
    Lowell Jensen is an American lawyer and former U.S. Department of Justice official who served in senior prosecutorial and judicial roles, including as a federal judge.
  • C. George Hansen
    George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
  • D. August S. Jensen
    August S. Jensen was a mountaineer known for making the first recorded ascent of Gunnbjørn Fjeld, the highest peak in Greenland and the Arctic.
  • E. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ec20db88190b68542feaa9d66ef completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:05 p.m.