Triple

T6954983
Position Surface form Disambiguated ID Type / Status
Subject Contraband E161218 entity
Predicate screenwriter P2831 FINISHED
Object Aaron Guzikowski E537595 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: Aaron Guzikowski | Statement: [Contraband, screenwriter, Aaron Guzikowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Guzikowski
Context triple: [Contraband, screenwriter, Aaron Guzikowski]
  • A. Aaron Guzikowski chosen
    Aaron Guzikowski is an American screenwriter best known for writing the acclaimed thriller film "Prisoners" and creating the science fiction series "Raised by Wolves."
  • B. Josh Gudwin
    Josh Gudwin is a Grammy-winning Canadian recording and mixing engineer best known for his work with major pop artists such as Justin Bieber.
  • C. Patrick Nielsen Hayden
    Patrick Nielsen Hayden is an influential American science fiction and fantasy editor and publisher, known for shaping the careers of numerous prominent genre authors.
  • D. Will Knaak
    Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
  • E. David Zelon
    David Zelon is a film producer best known for working on action and thriller movies, including the underwater adventure film "Into the Blue."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.