Triple
T6620135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osbert de Lincoln |
E149651
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lincoln
Lincoln is a historic English surname most prominently associated with the city of Lincoln and borne by various notable figures throughout British and American history.
|
E116393
|
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: Lincoln | Statement: [Osbert de Lincoln, familyName, Lincoln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln Context triple: [Osbert de Lincoln, familyName, Lincoln]
-
A.
Lincoln
Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
-
B.
Lincoln
Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
-
C.
Lincoln
Lincoln is a suburban town in Providence County, Rhode Island, known for its historic mill villages, residential neighborhoods, and recreational areas such as Lincoln Woods State Park.
-
D.
Lincoln
Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
-
E.
Lincoln
Lincoln is a small city in Talladega County, Alabama, known for its proximity to the Talladega Superspeedway and Logan Martin Lake.
- 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: Lincoln Triple: [Osbert de Lincoln, familyName, Lincoln]
Generated description
Lincoln is a historic English surname most prominently associated with the city of Lincoln and borne by various notable figures throughout British and American history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lincoln Target entity description: Lincoln is a historic English surname most prominently associated with the city of Lincoln and borne by various notable figures throughout British and American history.
-
A.
Lincoln
Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
-
B.
Lincoln
Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
-
C.
Lincoln
Lincoln is a historic American city in Illinois best known as the namesake of President Abraham Lincoln and for its rich Civil War–era heritage.
-
D.
Lincoln
chosen
Lincoln is a historic cathedral city in the East Midlands of England, renowned for its medieval architecture, including Lincoln Cathedral and Lincoln Castle.
-
E.
Lincoln
Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723b26bec819088380fa1b4aff507 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c725737e3481909a98dcde054760e2 |
completed | March 28, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725d04d988190a4a6a1c73056cfd7 |
completed | March 28, 2026, 12:50 a.m. |
Created at: March 27, 2026, 1:58 p.m.