Triple

T23374369
Position Surface form Disambiguated ID Type / Status
Subject Yannick Bisson E593564 entity
Predicate portrays P264 FINISHED
Object William 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: William Murdoch | Statement: [Yannick Bisson, portrays, William Murdoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Murdoch
Context triple: [Yannick Bisson, portrays, William Murdoch]
  • A. 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.
  • B. William Murdoch chosen
    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."
  • C. John Murdoch
    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.
  • D. John Murdoch
    John Murdoch is known primarily as the husband of Emma Murdoch.
  • E. Mr Hudson
    Mr Hudson is a British singer, songwriter, and producer known for his collaborations with artists like Kanye West and his blend of pop, R&B, and electronic influences.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b1d24881909945936cbf00876e completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.