Triple
T9560480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forney |
E230658
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Abraham Forney
Abraham Forney was a notable individual bearing the Forney surname, recognized enough to be specifically cited among its distinguished bearers.
|
E812487
|
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: Abraham Forney | Statement: [Forney, hasNotableBearer, Abraham Forney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraham Forney Context triple: [Forney, hasNotableBearer, Abraham Forney]
-
A.
Abraham Wells
Abraham Wells was an individual significant enough in local history that the village of Wellsburg, New York, was named in his honor.
-
B.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
C.
Abraham Hart
Abraham Hart was a 19th-century American publisher best known as the co-founder of the influential Philadelphia publishing firm Carey and Hart.
-
D.
Ephraim Williams
Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
-
E.
Moses Worthington
Moses Worthington is a person notable enough to be recognized as a distinguished bearer of the Worthington surname.
- 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: Abraham Forney Triple: [Forney, hasNotableBearer, Abraham Forney]
Generated description
Abraham Forney was a notable individual bearing the Forney surname, recognized enough to be specifically cited among its distinguished bearers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abraham Forney Target entity description: Abraham Forney was a notable individual bearing the Forney surname, recognized enough to be specifically cited among its distinguished bearers.
-
A.
Abraham Wells
Abraham Wells was an individual significant enough in local history that the village of Wellsburg, New York, was named in his honor.
-
B.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
C.
Abraham Hart
Abraham Hart was a 19th-century American publisher best known as the co-founder of the influential Philadelphia publishing firm Carey and Hart.
-
D.
Ephraim Williams
Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
-
E.
Moses Worthington
Moses Worthington is a person notable enough to be recognized as a distinguished bearer of the Worthington surname.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994bde0c8190afcba5cb8fa8b984 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18214e1cc8190a66582a1af26cac3 |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d18601f5188190a6412ee2ffb1c888 |
completed | April 4, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18653a5008190879557508f727f66 |
completed | April 4, 2026, 9:44 p.m. |
Created at: March 30, 2026, 8:03 p.m.