Triple
T7205197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky militia |
E148647
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object |
Green Clay
Green Clay was an American Revolutionary War and War of 1812 officer, prominent Kentucky militia general, landowner, and politician.
|
E648861
|
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: Green Clay | Statement: [Kentucky militia, notableCommander, Green Clay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Clay Context triple: [Kentucky militia, notableCommander, Green Clay]
-
A.
Clay
Clay is the tough, strategic leader of the elite black-ops team in the 2010 action film "The Losers."
-
B.
Clay
Clay is the birth surname of the legendary American boxer Muhammad Ali, who was born Cassius Marcellus Clay Jr.
-
C.
Greensand
Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
-
D.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
E.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
- 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: Green Clay Triple: [Kentucky militia, notableCommander, Green Clay]
Generated description
Green Clay was an American Revolutionary War and War of 1812 officer, prominent Kentucky militia general, landowner, and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Clay Target entity description: Green Clay was an American Revolutionary War and War of 1812 officer, prominent Kentucky militia general, landowner, and politician.
-
A.
Clay
Clay is the birth surname of the legendary American boxer Muhammad Ali, who was born Cassius Marcellus Clay Jr.
-
B.
Clay
Clay is the tough, strategic leader of the elite black-ops team in the 2010 action film "The Losers."
-
C.
Greensand
Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
-
D.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
E.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94d68ec8190ae3e1280bad12665 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfbb7564819091ce3669380409a1 |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c05a1f548190914a9b2ba98cbef2 |
completed | March 28, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0e6b508819093092e3516a9ec46 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:52 p.m.