Triple

T14102711
Position Surface form Disambiguated ID Type / Status
Subject 22 Jump Street E339422 entity
Predicate screenwriter P2831 FINISHED
Object Rodney Rothman E265627 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: Rodney Rothman | Statement: [22 Jump Street, screenwriter, Rodney Rothman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodney Rothman
Context triple: [22 Jump Street, screenwriter, Rodney Rothman]
  • A. Rodney Rothman chosen
    Rodney Rothman is an American screenwriter, producer, and director best known for his work on comedy films such as "22 Jump Street" and the animated feature "Spider-Man: Into the Spider-Verse."
  • B. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • C. Jay Rabinowitz
    Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
  • D. J.D. Roth
    J.D. Roth is an American television producer and host best known for creating and producing numerous reality and game shows, including weight-loss and competition series.
  • E. Mark Rosman
    Mark Rosman is an American film and television director and screenwriter best known for his work on family and teen-oriented movies and series, including projects for Disney.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff13322c548190bac21db2bfa56ee9 completed May 9, 2026, 10:57 a.m.
Created at: April 9, 2026, 10:22 p.m.