Triple
T655581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dewey |
E11640
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
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.
|
E83206
|
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: [George Dewey, familyName, Dewey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dewey Context triple: [George Dewey, familyName, Dewey]
-
A.
Dewey
Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
-
B.
Theodore
Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
-
C.
Thomas Tinker
Thomas Tinker was an English Separatist and early Pilgrim who sailed on the Mayflower and died during the first harsh winter at Plymouth Colony.
-
D.
Davis
Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
-
E.
Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
- 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: [George Dewey, familyName, Dewey]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dewey Target entity description: 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.
-
A.
Dewey
Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
-
B.
Theodore
Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
-
C.
Thomas Tinker
Thomas Tinker was an English Separatist and early Pilgrim who sailed on the Mayflower and died during the first harsh winter at Plymouth Colony.
-
D.
Davis
Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
-
E.
Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4d57688190a9515ac494a97b22 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3925a14819093336c4217c7e893 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c423047c8190acab387bd28ffa35 |
completed | March 2, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cd1dd7848190a987276500040a4f |
completed | March 2, 2026, 5:47 p.m. |
Created at: March 1, 2026, 7:36 p.m.