Triple

T9370906
Position Surface form Disambiguated ID Type / Status
Subject The Hound of the Baskervilles E225526 entity
Predicate narrator P2181 FINISHED
Object Dr. John Watson E172871 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: Dr. John Watson | Statement: [The Hound of the Baskervilles, narrator, Dr. John Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. John Watson
Context triple: [The Hound of the Baskervilles, narrator, Dr. John Watson]
  • A. Colonel John Watson
    Colonel John Watson was a British army officer and antiquarian whose extensive collection of art and historical artifacts led to the founding of the Watson Museum in Rajkot, India.
  • B. Dr. Watson chosen
    Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
  • C. John Watson
    John Watson is a film producer best known for his work on major Hollywood features, including the 1991 adventure film "Robin Hood: Prince of Thieves."
  • D. John Watson
    John Watson is the loyal friend and companion of Sherlock Holmes, often portrayed as his flatmate and biographer in Arthur Conan Doyle’s detective stories and their many adaptations.
  • E. Jerry Sherlock
    Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5083cbb8819088e8cef26be1b380 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12212507c819092e5153fee7eead4 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:43 p.m.