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.