Triple

T20818866
Position Surface form Disambiguated ID Type / Status
Subject Dr. Daniel Schreber E512516 entity
Predicate aidsCharacter P47734 FINISHED
Object John Murdoch 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: John Murdoch | Statement: [Dr. Daniel Schreber, aidsCharacter, John Murdoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Murdoch
Context triple: [Dr. Daniel Schreber, aidsCharacter, John Murdoch]
  • A. John Murdoch chosen
    John Murdoch is the amnesiac protagonist of the science fiction film "Dark City," who gradually discovers his reality is being manipulated by mysterious beings with psychic powers.
  • B. John Smith Murdoch
    John Smith Murdoch was an Australian architect best known as the first Commonwealth Government Architect, responsible for designing many key public buildings in early Canberra and across Australia.
  • C. William Murdoch
    William Murdoch was a Scottish engineer and inventor best known for pioneering gas lighting and contributing key innovations to early steam engine technology.
  • D. William Murdoch
    William Murdoch is a brilliant, forward-thinking detective in turn-of-the-20th-century Toronto who uses innovative forensic techniques to solve crimes in the television series "Murdoch Mysteries."
  • E. John Seaton
    John Seaton is a fictional character from the 1978 British-American sports drama film "International Velvet."
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f5b1e08190a9c26f76bd544b68 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.