Triple

T9789582
Position Surface form Disambiguated ID Type / Status
Subject The Thing Called Love E237572 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: [The Thing Called Love, cinematographyBy, Johnny E. Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny E. Jensen
Context triple: [The Thing Called Love, 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. John Laurence Jensen
    John Laurence Jensen was a notable figure significant enough to have the community of Jensen Beach in Florida named in his honor.
  • D. Harry Gullichsen
    Harry Gullichsen was a Finnish industrialist and prominent art patron known for commissioning modernist works, including Alvar Aalto’s celebrated Villa Mairea.
  • E. George Hansen
    George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e40ba788819084c3c01518a72e4e completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:28 p.m.