Triple

T19456205
Position Surface form Disambiguated ID Type / Status
Subject RoboCop (2014 film) E486738 entity
Predicate screenwriter P2831 FINISHED
Object Edward Neumeier 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: Edward Neumeier | Statement: [RoboCop (2014 film), screenwriter, Edward Neumeier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Neumeier
Context triple: [RoboCop (2014 film), screenwriter, Edward Neumeier]
  • A. Edward Neumeier chosen
    Edward Neumeier is an American screenwriter and producer best known for writing the science fiction films RoboCop and Starship Troopers.
  • B. Michael B. Olbrich
    Michael B. Olbrich was an American lawyer and conservationist best known for his role in creating public green spaces in Madison, Wisconsin, including the botanical gardens that bear his name.
  • C. Bruce Meyer
    Bruce Meyer is a Canadian poet, author, and educator known for his prolific output of poetry and literary criticism.
  • D. Richard C. Meyer
    Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
  • E. Fred Reif
    Fred Reif was an influential American physicist and physics educator known for his pioneering work in physics education research and authorship of widely used physics textbooks.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c4088881908f23f25a82a513f6 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.