Triple

T4209248
Position Surface form Disambiguated ID Type / Status
Subject Star Wars Rebels E93858 entity
Predicate creator P184 FINISHED
Object Simon Kinberg E214050 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: Simon Kinberg | Statement: [Star Wars Rebels, creator, Simon Kinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Kinberg
Context triple: [Star Wars Rebels, creator, Simon Kinberg]
  • A. Simon Kinberg chosen
    Simon Kinberg is a British-born American screenwriter and producer best known for his extensive work on the X-Men film franchise and other major Hollywood blockbusters.
  • B. Peyton Reed
    Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
  • C. Michael G. Wilson
    Michael G. Wilson is an American film producer best known for co-producing numerous James Bond films and helping oversee the long-running franchise.
  • D. Jon Hurwitz
    Jon Hurwitz is an American screenwriter, producer, and director best known as the co-creator of the Harold & Kumar film series and the Netflix series Cobra Kai.
  • E. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962bb63c81909e28a958323edb82 completed March 14, 2026, 5:08 p.m.
Created at: March 12, 2026, 11:03 p.m.