Triple

T3342806
Position Surface form Disambiguated ID Type / Status
Subject Mr. Monk’s Last Case: A Monk Movie E70296 entity
Predicate basedOn P98 FINISHED
Object Monk E70296 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: Monk | Statement: [Mr. Monk’s Last Case: A Monk Movie, basedOn, Monk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monk
Context triple: [Mr. Monk’s Last Case: A Monk Movie, basedOn, Monk]
  • A. Monk chosen
    Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
  • B. Monk
    Monk is a surname most prominently associated with Art Monk, the Hall of Fame former NFL wide receiver for the Washington Redskins.
  • C. Uncle Monk
    Uncle Monk is an acoustic bluegrass and old-time music duo co-founded by former Ramones drummer Tommy Ramone.
  • D. Mr. Teabag
    Mr. Teabag is a comically absurd civil servant portrayed by John Cleese in Monty Python’s “Ministry of Silly Walks” sketch, known for his exaggerated, nonsensical way of walking.
  • E. Monk Lewis
    Monk Lewis was the pseudonym of Matthew Gregory Lewis, an English Gothic novelist and dramatist best known for his sensational 1796 novel "The Monk."
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f06f8c8190a6b7c56ac3f5ff07 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a9627c48190bf8bce4e2e6de418 completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.