Triple
T10623062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scudder |
E250252
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
William Scudder
William Scudder is a person notable enough to be specifically recorded as a bearer of the surname Scudder.
|
E925371
|
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: William Scudder | Statement: [Scudder, hasNotableBearer, William Scudder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Scudder Context triple: [Scudder, hasNotableBearer, William Scudder]
-
A.
George Scudder
George Scudder is an individual notable enough to be recognized as a bearer of the surname Scudder, though specific widely known public details about him are limited.
-
B.
Thomas Scudder
Thomas Scudder is a relatively obscure individual whose name is notably recorded as a bearer of the Scudder surname.
-
C.
Horace Scudder
Horace Scudder was a 19th-century American editor, author, and biographer best known for his work with The Atlantic Monthly and his influential writings for children.
-
D.
William Cottrell
William Cottrell was an American screenwriter and director best known for his work on classic Disney animated films in the mid-20th century.
-
E.
William Tharp
William Tharp was a 19th-century American politician who served as the 36th Governor of Delaware.
- 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: William Scudder Triple: [Scudder, hasNotableBearer, William Scudder]
Generated description
William Scudder is a person notable enough to be specifically recorded as a bearer of the surname Scudder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Scudder Target entity description: William Scudder is a person notable enough to be specifically recorded as a bearer of the surname Scudder.
-
A.
George Scudder
George Scudder is an individual notable enough to be recognized as a bearer of the surname Scudder, though specific widely known public details about him are limited.
-
B.
Thomas Scudder
Thomas Scudder is a relatively obscure individual whose name is notably recorded as a bearer of the Scudder surname.
-
C.
Horace Scudder
Horace Scudder was a 19th-century American editor, author, and biographer best known for his work with The Atlantic Monthly and his influential writings for children.
-
D.
William Cottrell
William Cottrell was an American screenwriter and director best known for his work on classic Disney animated films in the mid-20th century.
-
E.
William Tharp
William Tharp was a 19th-century American politician who served as the 36th Governor of Delaware.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7f11fc8190aed858f2e1443c08 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d2d717888190b7e455d006d01033 |
completed | April 20, 2026, 7:16 a.m. |
| NEDg | Description generation | batch_69e5d615b6a08190b6000339bec4270d |
completed | April 20, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d924963c8190bfc55ffeb529a499 |
completed | April 20, 2026, 7:43 a.m. |
Created at: April 8, 2026, 8:51 p.m.