Triple

T9376353
Position Surface form Disambiguated ID Type / Status
Subject Burn the Witch E225654 entity
Predicate musicVideoDirector P4911 FINISHED
Object Chris Hopewell E804067 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: Chris Hopewell | Statement: [Burn the Witch, musicVideoDirector, Chris Hopewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hopewell
Context triple: [Burn the Witch, musicVideoDirector, Chris Hopewell]
  • A. Chris Hopewell chosen
    Chris Hopewell is a British director and animator best known for his distinctive stop-motion and mixed-media music videos for major rock and alternative bands.
  • B. Keith Hopkins
    Keith Hopkins was a prominent British historian and sociologist of the ancient world, known especially for his influential work on Roman social and economic history.
  • C. Michael Hopkinson
    Michael Hopkinson is a historian known for his work on modern Irish history, particularly the Irish War of Independence and the Irish Civil War.
  • D. Andy Hopper
    Andy Hopper is a British computer scientist and entrepreneur known for his influential work in computer networking, systems research, and the founding of several technology companies.
  • E. David Hoselton
    David Hoselton is a television writer and producer best known for his work on medical dramas such as "The Good Doctor."
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50aa3d008190836d0fde840da7d2 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bdb000c81909b11b3bf2398bf0f completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:44 p.m.