Triple

T7007804
Position Surface form Disambiguated ID Type / Status
Subject Henry Daniell E162500 entity
Predicate portrayed P1668 FINISHED
Object Professor Moriarty E218633 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: Professor Moriarty | Statement: [Henry Daniell, portrayed, Professor Moriarty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Professor Moriarty
Context triple: [Henry Daniell, portrayed, Professor Moriarty]
  • A. P.H. Moriarty
    P.H. Moriarty is a British actor best known for his tough-guy roles in films such as "Lock, Stock and Two Smoking Barrels" and "The Long Good Friday."
  • B. Jim Moriarty chosen
    Jim Moriarty is the brilliant and ruthless criminal mastermind who serves as Sherlock Holmes’s primary nemesis in the Sherlock Holmes stories and their adaptations.
  • C. Jerry Sherlock
    Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
  • D. Geoffrey Shurlock
    Geoffrey Shurlock was an American film censor who led Hollywood’s Production Code Administration, overseeing the enforcement of moral guidelines in studio movies during the mid-20th century.
  • E. Cornelius Sherlock
    Cornelius Sherlock was a British architect best known for designing prominent public buildings such as the Walker Art Gallery in Liverpool.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a43c3a081909b9150d36ba107f5 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.