Triple

T5454475
Position Surface form Disambiguated ID Type / Status
Subject Hank Azaria E122444 entity
Predicate notableWork P4 FINISHED
Object Mystery Men E407863 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: Mystery Men | Statement: [Hank Azaria, notableWork, Mystery Men]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mystery Men
Context triple: [Hank Azaria, notableWork, Mystery Men]
  • A. Mystery Men chosen
    Mystery Men is a 1999 superhero comedy film that parodies traditional comic-book heroes by following a group of inept, misfit crimefighters trying to save their city.
  • B. 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.
  • C. Practical Jokers
    Practical Jokers is an album by the band The Swingers, known for its blend of new wave and pop-rock sounds.
  • D. Encino Man
    Encino Man is a 1992 comedy film about two high school students who discover and befriend a frozen prehistoric caveman in suburban California.
  • E. 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.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ed9a388190967e7ffaf9dbadc6 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41433abc8190998bdb0fa8b18041 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.