Triple

T13222728
Position Surface form Disambiguated ID Type / Status
Subject Leonard Chess E314794 entity
Predicate child P120 FINISHED
Object Jordy Chess
Jordy Chess is a member of the Chess family, known for its pivotal role in founding and running the influential Chicago blues and R&B label Chess Records.
E588328 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: Jordy Chess | Statement: [Leonard Chess, child, Jordy Chess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordy Chess
Context triple: [Leonard Chess, child, Jordy Chess]
  • A. Benjamin Chess
    Benjamin Chess is a computer scientist and AI researcher known for co-authoring influential work in large-scale language models alongside figures such as Tom B. Brown.
  • B. Aron Chess
    Aron Chess is a music industry figure best known as a founder of the influential American blues and rock ’n’ roll label Chess Records.
  • C. Arthur Guez
    Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
  • D. Christopher Chessun
    Christopher Chessun is an Anglican bishop who serves as a senior Church of England leader in the Diocese of Southwark.
  • E. Ben Schwalb
    Ben Schwalb is a film producer known for his work on the horror movie "The Hypnotic Eye."
  • 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: Jordy Chess
Triple: [Leonard Chess, child, Jordy Chess]
Generated description
Jordy Chess is a member of the Chess family, known for its pivotal role in founding and running the influential Chicago blues and R&B label Chess Records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jordy Chess
Target entity description: Jordy Chess is a member of the Chess family, known for its pivotal role in founding and running the influential Chicago blues and R&B label Chess Records.
  • A. Benjamin Chess
    Benjamin Chess is a computer scientist and AI researcher known for co-authoring influential work in large-scale language models alongside figures such as Tom B. Brown.
  • B. Aron Chess chosen
    Aron Chess is a music industry figure best known as a founder of the influential American blues and rock ’n’ roll label Chess Records.
  • C. Arthur Guez
    Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
  • D. Christopher Chessun
    Christopher Chessun is an Anglican bishop who serves as a senior Church of England leader in the Diocese of Southwark.
  • E. Ben Schwalb
    Ben Schwalb is a film producer known for his work on the horror movie "The Hypnotic Eye."
  • F. None of above.

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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7001924d48190af7d430cb258409a completed May 3, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69f700cfb43881909c903ec12b15065a completed May 3, 2026, 8:01 a.m.
Created at: April 9, 2026, 9:19 p.m.