Triple

T17904307
Position Surface form Disambiguated ID Type / Status
Subject Andrea Arnold E447660 entity
Predicate directorOf P537 FINISHED
Object 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: Red Road | Statement: [Andrea Arnold, directorOf, Red Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Road
Context triple: [Andrea Arnold, directorOf, Red Road]
  • A. Red Road chosen
    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.
  • B. The Red Road
    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.
  • C. Sunken Road
    Sunken Road, later known as Bloody Lane, was a crucial defensive position and the site of some of the fiercest fighting during the American Civil War’s Battle of Antietam.
  • D. Forks of the Road
    Forks of the Road is a historic site in Natchez, Mississippi, that was once one of the largest slave markets in the United States and is now preserved for its significance in African American and Civil War history.
  • E. The Sky Road
    The Sky Road is a science fiction novel by Ken MacLeod that blends political intrigue, alternate history, and spacefaring futures within his Fall Revolution universe.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.