Triple

T9790207
Position Surface form Disambiguated ID Type / Status
Subject Side Effects E237586 entity
Predicate screenwriter P2831 FINISHED
Object Scott Z. Burns E212903 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: Scott Z. Burns | Statement: [Side Effects, screenwriter, Scott Z. Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Z. Burns
Context triple: [Side Effects, screenwriter, Scott Z. Burns]
  • A. Scott Z. Burns chosen
    Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
  • B. Rian Johnson
    Rian Johnson is an American filmmaker known for his inventive, genre-bending movies such as "Brick," "Looper," and "Knives Out," as well as directing "Star Wars: The Last Jedi."
  • C. Mark Fergus
    Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
  • D. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • E. 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.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.