Triple
T17205718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewey Phillip Bryant |
E417595
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dewey
Dewey is a masculine given name of English origin, often used as both a first name and a surname in the United States.
|
E1258077
|
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: Dewey | Statement: [Dewey Phillip Bryant, givenName, Dewey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dewey Context triple: [Dewey Phillip Bryant, givenName, Dewey]
-
A.
John
John is the given name of the 19th-century British philosopher and political economist John Stuart Mill, a key figure in liberal thought and utilitarianism.
-
B.
John
John is the given first name of the influential British computer scientist Robin Milner, known for his pioneering work in programming language theory and process calculi.
-
C.
John
John is the given name of John Marshall Harlan, a prominent U.S. Supreme Court Justice known for his influential dissents in civil rights cases.
-
D.
John
John is the given name of Welsh actor John Rhys-Davies, best known for his roles in the Indiana Jones and The Lord of the Rings film series.
-
E.
John
John Tinsley Oden is an American engineer and mathematician renowned for his pioneering work in computational mechanics and finite element analysis.
- 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: Dewey Triple: [Dewey Phillip Bryant, givenName, Dewey]
Generated description
Dewey is a masculine given name of English origin, often used as both a first name and a surname in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dewey Target entity description: Dewey is a masculine given name of English origin, often used as both a first name and a surname in the United States.
-
A.
Dewey
Dewey is a surname most famously associated with Melvil Dewey, the American librarian who created the Dewey Decimal Classification system.
-
B.
Dewey
Dewey is the given first name of American politician Phil Bryant, the former governor of Mississippi.
-
C.
Dewey
Dewey is a surname most famously associated with George Dewey, the U.S. naval officer celebrated for his victory at the Battle of Manila Bay during the Spanish–American War.
-
D.
Dewey
Dewey is a small unincorporated community located on Fidalgo Island in Washington State, known for its coastal setting in the Puget Sound region.
-
E.
Dewey
Dewey is one of Donald Duck’s mischievous triplet nephews in Disney’s classic cartoon universe.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc0bea8819090946615a14b2d86 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674df2cc8190be602b15d49d38d0 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016c03dab88190926c36f2e6b55861 |
completed | May 11, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016cba568481908920fe42cae5f153 |
completed | May 11, 2026, 5:44 a.m. |
Created at: April 10, 2026, 5:38 a.m.