Triple

T5507654
Position Surface form Disambiguated ID Type / Status
Subject Bennie Moten E144481 entity
Predicate familyName P18 FINISHED
Object Moten
Moten is a surname most notably associated with Bennie Moten, an influential American jazz pianist and bandleader from Kansas City.
 E531533 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: Moten | Statement: [Bennie Moten, familyName, Moten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moten
Context triple: [Bennie Moten, familyName, Moten]
  • A. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Enos
    Enos is the birth name of American billionaire businessman and sports team owner Stan Kroenke.
  • D. Edwin Birdsong
    Edwin Birdsong was an American funk and soul keyboardist, composer, and producer known for his experimental 1970s recordings and later influence on hip-hop and electronic music through extensive sampling of his work.
  • E. Tyree
    Tyree is a surname most famously associated with former NFL wide receiver David Tyree, known for his iconic "Helmet Catch" in Super Bowl XLII.
  • 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: Moten
Triple: [Bennie Moten, familyName, Moten]
Generated description
Moten is a surname most notably associated with Bennie Moten, an influential American jazz pianist and bandleader from Kansas City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moten
Target entity description: Moten is a surname most notably associated with Bennie Moten, an influential American jazz pianist and bandleader from Kansas City.
  • A. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Enos
    Enos is the birth name of American billionaire businessman and sports team owner Stan Kroenke.
  • D. Edwin Birdsong
    Edwin Birdsong was an American funk and soul keyboardist, composer, and producer known for his experimental 1970s recordings and later influence on hip-hop and electronic music through extensive sampling of his work.
  • E. Tyree
    Tyree is a surname most famously associated with former NFL wide receiver David Tyree, known for his iconic "Helmet Catch" in Super Bowl XLII.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c082108190a3c8f826a6aeef4c completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c03c0ab1d8819094aeaac0a5b57bc8 completed March 22, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:32 p.m.