Triple

T19648324
Position Surface form Disambiguated ID Type / Status
Subject Take Back the Night E471738 entity
Predicate musicVideoDirector P4911 FINISHED
Object Jonathan Craven 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: Jonathan Craven | Statement: [Take Back the Night, musicVideoDirector, Jonathan Craven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Craven
Context triple: [Take Back the Night, musicVideoDirector, Jonathan Craven]
  • A. Jonathan Craven chosen
    Jonathan Craven is a music video director and filmmaker known for his work on various rock and alternative music projects, as well as being the son of horror director Wes Craven.
  • B. Nicholas Crane
    Nicholas Crane is a British geographer, author, and television presenter known for his work on geography-themed documentaries and popular science books.
  • C. Ian Masters
    Ian Masters is a screenwriter best known for his work on the political thriller film "The Osterman Weekend."
  • D. Peter Craven
    Peter Craven is a co-founder of the Australian literary and cultural magazine MQA.
  • E. Michael Ripper
    Michael Ripper was a British character actor best known for his prolific supporting roles in Hammer horror films from the 1950s to the 1970s.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.