Triple

T13020471
Position Surface form Disambiguated ID Type / Status
Subject Matt Walsh E326156 entity
Predicate directed P7373 FINISHED
Object High Road E869869 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: High Road | Statement: [Matt Walsh, directed, High Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Road
Context triple: [Matt Walsh, directed, High Road]
  • A. High Road
    High Road is a pop album by American singer Kesha that blends upbeat party anthems with more introspective tracks, marking a return to her earlier carefree sound while retaining emotional depth.
  • B. High Road chosen
    High Road is a work—likely a film, television production, or stage play—associated with Scottish actor John Stahl, known for his roles in British drama.
  • C. The High Road
    The High Road is a science fiction novel by Ben Bova that explores the political and technological struggles surrounding the development of space-based solar power.
  • D. 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.
  • E. Bright Road
    Bright Road is a 1953 drama film best known for featuring one of Dorothy Dandridge’s early leading screen roles as an inspiring schoolteacher.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c116423881908d0de1e04904fbc3 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:51 p.m.