Triple

T8036423
Position Surface form Disambiguated ID Type / Status
Subject Jared Harris E187118 entity
Predicate portrayed P1668 FINISHED
Object Professor James 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 James Moriarty | Statement: [Jared Harris, portrayed, Professor James Moriarty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Professor James Moriarty
Context triple: [Jared Harris, portrayed, Professor James 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. Robert Barrat
    Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
  • D. Henry Haller
    Henry Haller was a Swiss-born American chef best known for serving as White House Executive Chef for multiple U.S. presidents from the Johnson through the Reagan administrations.
  • E. 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.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.