Triple

T15603717
Position Surface form Disambiguated ID Type / Status
Subject Etan Cohen E375098 entity
Predicate coWrote P7732 FINISHED
Object Holmes & Watson E554428 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: Holmes & Watson | Statement: [Etan Cohen, coWrote, Holmes & Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holmes & Watson
Context triple: [Etan Cohen, coWrote, Holmes & Watson]
  • A. Holmes & Watson chosen
    Holmes & Watson is a 2018 slapstick comedy film that parodies Arthur Conan Doyle’s Sherlock Holmes stories, starring Will Ferrell and John C. Reilly as the iconic detective duo.
  • B. Holmes
    Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
  • C. Holmes
    Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
  • D. Hugh Sherlock
    Hugh Sherlock was a Jamaican clergyman, social worker, and poet best known for writing the lyrics of Jamaica’s national anthem.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678821a481908378db1ffc76ba05 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:12 a.m.