Triple

T14520106
Position Surface form Disambiguated ID Type / Status
Subject Pale Rider E340627 entity
Predicate starring P1507 FINISHED
Object Michael Moriarty E742569 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: Michael Moriarty | Statement: [Pale Rider, starring, Michael Moriarty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Moriarty
Context triple: [Pale Rider, starring, Michael Moriarty]
  • A. Michael Moriarty chosen
    Michael Moriarty is an American-Canadian actor known for his intense character roles in film and television, including his Emmy-winning work on the series "Law & Order."
  • B. Jim Moriarty
    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. 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."
  • D. Michael Cage
    Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
  • E. Brian Moriarty
    Brian Moriarty is an American game designer best known for his influential work on classic interactive fiction titles such as "Trinity" and "Wishbringer," as well as LucasArts' "Loom."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4b71688190ae9ebccdc81d09f8 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.