Triple
T1203855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Pickens |
E25842
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pickens
Pickens is a surname of Scottish origin that has been borne by several notable American political and military figures.
|
E141941
|
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: Pickens | Statement: [Andrew Pickens, familyName, Pickens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pickens Context triple: [Andrew Pickens, familyName, Pickens]
-
A.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
-
B.
Pickens County
Pickens County is a rural county in western Alabama known for its agricultural landscape, small towns, and historic courthouse in the county seat of Carrollton.
-
C.
Cordele
Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
-
D.
Titisee-Neustadt
Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
-
E.
Greenville
Greenville is a residential neighborhood in the southern part of Jersey City, New Jersey, known for its diverse community and urban character.
- 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: Pickens Triple: [Andrew Pickens, familyName, Pickens]
Generated description
Pickens is a surname of Scottish origin that has been borne by several notable American political and military figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pickens Target entity description: Pickens is a surname of Scottish origin that has been borne by several notable American political and military figures.
-
A.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
-
B.
Pickens County
Pickens County is a rural county in western Alabama known for its agricultural landscape, small towns, and historic courthouse in the county seat of Carrollton.
-
C.
Cordele
Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
-
D.
Titisee-Neustadt
Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
-
E.
Greenville
Greenville is a small city in south-central Alabama known for its historic downtown and role as the county seat of Butler County.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6ff3048190a420ee6c92fc9c71 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac901d3100819084224337a9cb0cbb |
completed | March 7, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac907083c08190aa2a72d77eaafc85 |
completed | March 7, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:46 p.m.