Triple
T1009779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra Pound |
E21795
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pound
Pound is a surname most famously associated with Ezra Pound, the influential American poet and critic central to the early modernist movement.
|
E120693
|
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: Pound | Statement: [Ezra Pound, familyName, Pound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pound Context triple: [Ezra Pound, familyName, Pound]
-
A.
Sterling
Sterling is a suburban community in Loudoun County, Northern Virginia, known for its residential neighborhoods, proximity to Washington Dulles International Airport, and role as part of the greater Washington, D.C. metropolitan area.
-
B.
Massachusetts pound
The Massachusetts pound was a colonial-era currency used in Massachusetts before the adoption of the U.S. dollar.
-
C.
Pound sterling
The pound sterling is the official currency of the United Kingdom and one of the world’s oldest continuously used monetary units.
-
D.
Virginia pound
The Virginia pound was the colonial currency used in Virginia before the adoption of the United States dollar.
-
E.
Dollar
Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
- 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: Pound Triple: [Ezra Pound, familyName, Pound]
Generated description
Pound is a surname most famously associated with Ezra Pound, the influential American poet and critic central to the early modernist movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pound Target entity description: Pound is a surname most famously associated with Ezra Pound, the influential American poet and critic central to the early modernist movement.
-
A.
Sterling
Sterling is a suburban community in Loudoun County, Northern Virginia, known for its residential neighborhoods, proximity to Washington Dulles International Airport, and role as part of the greater Washington, D.C. metropolitan area.
-
B.
Massachusetts pound
The Massachusetts pound was a colonial-era currency used in Massachusetts before the adoption of the U.S. dollar.
-
C.
Pound sterling
The pound sterling is the official currency of the United Kingdom and one of the world’s oldest continuously used monetary units.
-
D.
Virginia pound
The Virginia pound was the colonial currency used in Virginia before the adoption of the United States dollar.
-
E.
Dollar
Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a3cb608190a2de34a09cd55146 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bab71388190ba8bbfd79a5e0f92 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c30311081909e817de7cf9c2d9b |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3c9cc1ec819087df1f4c4efc5646 |
completed | March 7, 2026, 2:56 p.m. |
Created at: March 1, 2026, 7:41 p.m.