Triple

T19637528
Position Surface form Disambiguated ID Type / Status
Subject Mad Max 2 E471437 entity
Predicate cinematographyBy P1953 FINISHED
Object Dean Semler NE NERFINISHED

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: Dean Semler | Statement: [Mad Max 2, cinematographyBy, Dean Semler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Semler
Context triple: [Mad Max 2, cinematographyBy, Dean Semler]
  • A. Dean Semler chosen
    Dean Semler is an Australian cinematographer renowned for his work on major Hollywood films, including the comedy sequel "Nutty Professor II: The Klumps."
  • B. Michael Leiters
    Michael Leiters is an automotive executive known for senior leadership roles at high-performance sports car manufacturers, including serving as CEO of McLaren Automotive.
  • C. Donald Baechler
    Donald Baechler was an American contemporary artist known for his bold, graphic paintings and collages that combined childlike imagery with sophisticated art-historical references.
  • D. Keith E. Lindner
    Keith E. Lindner is an American businessman and member of the prominent Lindner family, known for its extensive interests in finance, real estate, and sports.
  • E. Dean Riesner
    Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.