Triple

T21776455
Position Surface form Disambiguated ID Type / Status
Subject Aaron Guzikowski E537595 entity
Predicate notableWork P4 FINISHED
Object The Red Road NE NERFINISHED

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: The Red Road | Statement: [Aaron Guzikowski, notableWork, The Red Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Red Road
Context triple: [Aaron Guzikowski, notableWork, The Red Road]
  • A. The Red Road chosen
    The Red Road is an American drama television series that explores the tense relationship between a small New Jersey town and a nearby Native American tribe.
  • B. Red Road
    Red Road is a 2006 British psychological thriller film set in Glasgow, known for its intense, voyeuristic story about a CCTV operator who becomes obsessed with a man from her past.
  • C. The Blood Road
    The Blood Road is a crime thriller novel by Scottish author Stuart MacBride, featuring Detective Inspector Logan McRae investigating dark and disturbing cases in northeast Scotland.
  • D. The Low Road
    The Low Road is a satirical play by Bruce Norris that skewers capitalism and moral hypocrisy through a darkly comic historical fable.
  • E. Traces of Red
    Traces of Red is a 1992 neo-noir crime thriller film centered on a murder investigation in Florida, featuring Lorraine Bracco among its principal cast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.