Triple

T19629032
Position Surface form Disambiguated ID Type / Status
Subject The Mask (comic book series) E471215 entity
Predicate mainCharacter P1183 FINISHED
Object Stanley Ipkiss NE NERFINISHED

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: Stanley Ipkiss | Statement: [The Mask (comic book series), mainCharacter, Stanley Ipkiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Ipkiss
Context triple: [The Mask (comic book series), mainCharacter, Stanley Ipkiss]
  • A. Stanley Ipkiss chosen
    Stanley Ipkiss is the mild-mannered, unlucky bank clerk who transforms into the wild, reality-bending trickster hero at the center of *The Mask* franchise.
  • B. Stanley Reames
    Stanley Reames was the first husband of American actress Janet Leigh, to whom she was briefly married before her later, more famous marriages.
  • C. Stanley West
    Stanley West was a British archaeologist best known for his pioneering excavations and research at the West Stow Anglo-Saxon settlement in Suffolk.
  • D. Stanley Andrews
    Stanley Andrews was an American character actor best known for his numerous supporting roles in films and early television during the mid-20th century.
  • E. Stanley Newman
    Stanley Newman was an American linguist known for his influential descriptive and analytical work on Native American languages, particularly Zuni.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.