Triple

T2248458
Position Surface form Disambiguated ID Type / Status
Subject Art Monk E49560 entity
Predicate familyName P18 FINISHED
Object Monk
Monk is a surname most prominently associated with Art Monk, the Hall of Fame former NFL wide receiver for the Washington Redskins.
 E248099 NE FINISHED

How this triple was built (4 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: [Art Monk, familyName, Monk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monk
Context triple: [Art Monk, familyName, Monk]
  • A. Monk
    Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
  • B. Uncle Monk
    Uncle Monk is an acoustic bluegrass and old-time music duo co-founded by former Ramones drummer Tommy Ramone.
  • C. 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.
  • D. 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."
  • E. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Monk
Triple: [Art Monk, familyName, Monk]
Generated description
Monk is a surname most prominently associated with Art Monk, the Hall of Fame former NFL wide receiver for the Washington Redskins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monk
Target entity description: Monk is a surname most prominently associated with Art Monk, the Hall of Fame former NFL wide receiver for the Washington Redskins.
  • A. Monk
    Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
  • B. Uncle Monk
    Uncle Monk is an acoustic bluegrass and old-time music duo co-founded by former Ramones drummer Tommy Ramone.
  • C. 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.
  • D. 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."
  • E. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • F. None of above. chosen

Provenance (5 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1719c481909ec3ff03d2a6f3bd completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bcfd2c481908f69df77f40655e2 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c4d9c04819086e3091bbbf16099 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.