Triple

T7905280
Position Surface form Disambiguated ID Type / Status
Subject Castle Rock Entertainment E183560 entity
Predicate foundedBy P104 FINISHED
Object Andrew Scheinman E463171 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: Andrew Scheinman | Statement: [Castle Rock Entertainment, foundedBy, Andrew Scheinman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Scheinman
Context triple: [Castle Rock Entertainment, foundedBy, Andrew Scheinman]
  • A. Andrew Scheinman chosen
    Andrew Scheinman is an American film and television producer and director best known for his work on popular comedies such as "When Harry Met Sally..." and his collaborations with Rob Reiner.
  • B. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • C. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • D. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • E. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a56c9f0819094dc87fe55a8823e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce38d1e5508190abf808fa06f89627 completed April 2, 2026, 9:37 a.m.
Created at: March 30, 2026, 5:03 p.m.