Triple
T7836821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Clymer |
E181708
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Clymer
Clymer is a surname of English origin borne by various notable individuals, including American Founding Father George Clymer.
|
E698787
|
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: Clymer | Statement: [George Clymer, familyName, Clymer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clymer Context triple: [George Clymer, familyName, Clymer]
-
A.
Leister
Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
-
B.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
-
C.
Whelen Engineering
Whelen Engineering is an American company that designs and manufactures emergency warning lights, sirens, and related safety systems for police, fire, EMS, and other public safety and automotive applications.
-
D.
Bafang
Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
-
E.
Harley-Davidson
Harley-Davidson is an iconic American motorcycle manufacturer renowned for its heavyweight cruiser bikes, distinctive V-twin engines, and strong biker subculture.
- 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: Clymer Triple: [George Clymer, familyName, Clymer]
Generated description
Clymer is a surname of English origin borne by various notable individuals, including American Founding Father George Clymer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clymer Target entity description: Clymer is a surname of English origin borne by various notable individuals, including American Founding Father George Clymer.
-
A.
Leister
Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
-
B.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
-
C.
Whelen Engineering
Whelen Engineering is an American company that designs and manufactures emergency warning lights, sirens, and related safety systems for police, fire, EMS, and other public safety and automotive applications.
-
D.
Bafang
Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
-
E.
Harley-Davidson
Harley-Davidson is an iconic American motorcycle manufacturer renowned for its heavyweight cruiser bikes, distinctive V-twin engines, and strong biker subculture.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aad325c8190bced57e8380bc729 |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb762dd8348190bf74be4e7f5df1e7 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb24068908190977b266366e5ceea |
completed | March 31, 2026, 11:38 a.m. |
Created at: March 30, 2026, 4:46 p.m.