Triple

T5485884
Position Surface form Disambiguated ID Type / Status
Subject The Mask E123578 entity
Predicate partOf P40 FINISHED
Object The Mask film series E471215 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: The Mask film series | Statement: [The Mask, partOf, The Mask film series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mask film series
Context triple: [The Mask, partOf, The Mask film series]
  • A. The Mask
    The Mask is a 1994 fantasy-comedy film starring Jim Carrey as a timid bank clerk who transforms into a zany, reality-bending trickster after donning a magical mask.
  • B. The Mask (comic book series) chosen
    The Mask is a darkly comedic comic book series about a magical mask that transforms its wearer into an unstoppable, cartoonishly violent antihero, later inspiring the popular film starring Jim Carrey.
  • C. Behind a Mask
    "Behind a Mask" is a sensation-style novella by Louisa May Alcott, originally published under a pseudonym, that follows a cunning governess who deceives a wealthy family for personal gain.
  • D. The Masked Marvel
    The Masked Marvel is a 1943 Republic Pictures movie serial featuring a mysterious, masked crime-fighter battling saboteurs during World War II.
  • E. Men in Black
    Men in Black is a popular sci-fi action-comedy film about a secret government agency that monitors and regulates extraterrestrial activity on Earth.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92625a50819088133641ed6f25a9 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77b59ef881909c5968194336b101 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 2:10 p.m.