Triple

T13148159
Position Surface form Disambiguated ID Type / Status
Subject Zack and Miri Make a Porno E312393 entity
Predicate cinematography P1953 FINISHED
Object David Klein E772262 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: David Klein | Statement: [Zack and Miri Make a Porno, cinematography, David Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Klein
Context triple: [Zack and Miri Make a Porno, cinematography, David Klein]
  • A. David Klein chosen
    David Klein is an American cinematographer best known for his frequent collaborations with filmmaker Kevin Smith and his work on independent films and television series.
  • B. Jonathan Klein
    Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
  • C. Dan Klein
    Dan Klein is a prominent computer scientist and professor at UC Berkeley known for his influential research in natural language processing and machine learning.
  • D. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • E. Chris Klein
    Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2894848190b5853127ef04932c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:10 p.m.