Triple

T10007969
Position Surface form Disambiguated ID Type / Status
Subject Matt Berninger E198299 entity
Predicate notableWork P4 FINISHED
Object High Violet E198302 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 Violet | Statement: [Matt Berninger, notableWork, High Violet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Violet
Context triple: [Matt Berninger, notableWork, High Violet]
  • A. High Violet chosen
    High Violet is a critically acclaimed 2010 indie rock album by American band The National, noted for its brooding atmosphere, intricate arrangements, and emotionally resonant lyrics.
  • B. Violet Tendencies
    Violet Tendencies is an independent romantic comedy film in which Mindy Cohn stars as a single woman navigating love and friendship in New York City.
  • C. Madcap Violet
    Madcap Violet is a 19th-century novel by Scottish author William Black, known for its blend of romance, social observation, and vivid depictions of contemporary British life.
  • D. Warpaint
    Warpaint is an American indie rock band known for its atmospheric, guitar-driven sound and intricate vocal harmonies.
  • E. International Velvet
    International Velvet is a 1978 British-American drama film that serves as a modern sequel to the classic horse-racing story National Velvet, following the grown-up Velvet Brown and her niece in the world of competitive equestrian sports.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a683c208190a79ebc2e6ec5893c completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.