Triple

T4625662
Position Surface form Disambiguated ID Type / Status
Subject The Curse of Frankenstein E101090 entity
Predicate musicBy P1952 FINISHED
Object James Bernard E456206 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: James Bernard | Statement: [The Curse of Frankenstein, musicBy, James Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Bernard
Context triple: [The Curse of Frankenstein, musicBy, James Bernard]
  • A. James Bernard chosen
    James Bernard was a British composer best known for his iconic, atmospheric scores for Hammer horror films, including several Dracula movies.
  • B. Bernard George
    Bernard George was a British architect best known for designing the iconic Kensington Roof Gardens in London.
  • C. Bernard Hart
    Bernard Hart was an early American financier and broker known for being among the original founders of what became the New York Stock Exchange.
  • D. Johnny Douglas
    Johnny Douglas is a British music producer and songwriter known for his work across pop and R&B, including collaborations with prominent UK artists.
  • E. Anthony Darwin
    Anthony Darwin is the son of British former prison officer John Darwin, who became widely known for his role in the infamous "canoe man" faked-death insurance fraud case.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a08ef488190af46418229309b0f completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0360f7548190b4d1c2e0e53985e8 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.