Triple
T17341391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combs |
E421073
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Leslie Combs II
Leslie Combs II was an American horse breeder and racing executive best known for founding the influential Spendthrift Farm in Kentucky.
|
E1262425
|
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: Leslie Combs II | Statement: [Combs, hasNotableBearer, Leslie Combs II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Combs II Context triple: [Combs, hasNotableBearer, Leslie Combs II]
-
A.
Christian Combs
Christian Combs, also known as King Combs, is an American rapper, model, and the son of music mogul Sean "Diddy" Combs.
-
B.
Justin Combs Sr.
Justin Combs Sr. is the father of Justin Dior Combs and a member of the Combs family associated with American entertainment mogul Sean "Diddy" Combs.
-
C.
Lee Percy
Lee Percy is a film editor known for his work on feature films such as "The Mountain Between Us."
-
D.
Earl Thomas Conley
Earl Thomas Conley was an American country music singer-songwriter known for his string of 1980s hits and his influential role in the neotraditional country movement.
-
E.
Hal Slocumb
Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
- 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: Leslie Combs II Triple: [Combs, hasNotableBearer, Leslie Combs II]
Generated description
Leslie Combs II was an American horse breeder and racing executive best known for founding the influential Spendthrift Farm in Kentucky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leslie Combs II Target entity description: Leslie Combs II was an American horse breeder and racing executive best known for founding the influential Spendthrift Farm in Kentucky.
-
A.
Christian Combs
Christian Combs, also known as King Combs, is an American rapper, model, and the son of music mogul Sean "Diddy" Combs.
-
B.
Justin Combs Sr.
Justin Combs Sr. is the father of Justin Dior Combs and a member of the Combs family associated with American entertainment mogul Sean "Diddy" Combs.
-
C.
Lee Percy
Lee Percy is a film editor known for his work on feature films such as "The Mountain Between Us."
-
D.
Earl Thomas Conley
Earl Thomas Conley was an American country music singer-songwriter known for his string of 1980s hits and his influential role in the neotraditional country movement.
-
E.
Hal Slocumb
Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c588a7081909ab108cb4adfedfe |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018e0f09c881909296656b2732bf1e |
completed | May 11, 2026, 8:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e7b453c81909f75593237bcf9ec |
completed | May 11, 2026, 8:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.