Triple
T5844828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Jung |
E129682
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
Boston George
Boston George is the nickname of George Jung, a notorious American drug trafficker who played a major role in the U.S. cocaine trade in the 1970s and 1980s.
|
E549972
|
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: Boston George | Statement: [George Jung, alias, Boston George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston George Context triple: [George Jung, alias, Boston George]
-
A.
Boston Commonwealth
Boston Commonwealth was a 19th-century American periodical based in Boston, known for publishing literary and reformist writings.
-
B.
New Boston
New Boston was the original name of the settlement that later became the city of Manhattan, Kansas.
-
C.
Boston T
Boston T is the public rapid transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority (MBTA).
-
D.
Beantown
Beantown is a popular nickname for the city of Boston, Massachusetts, often used in informal and cultural references to the city.
-
E.
Boston
Boston is a historic market town and port in Lincolnshire, England, known for its medieval church St Botolph's ("The Stump") and its role in early English Puritan emigration to America.
- 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: Boston George Triple: [George Jung, alias, Boston George]
Generated description
Boston George is the nickname of George Jung, a notorious American drug trafficker who played a major role in the U.S. cocaine trade in the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boston George Target entity description: Boston George is the nickname of George Jung, a notorious American drug trafficker who played a major role in the U.S. cocaine trade in the 1970s and 1980s.
-
A.
Boston Commonwealth
Boston Commonwealth was a 19th-century American periodical based in Boston, known for publishing literary and reformist writings.
-
B.
New Boston
New Boston was the original name of the settlement that later became the city of Manhattan, Kansas.
-
C.
Boston T
Boston T is the public rapid transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority (MBTA).
-
D.
Beantown
Beantown is a popular nickname for the city of Boston, Massachusetts, often used in informal and cultural references to the city.
-
E.
Boston
Boston is a historic market town and port in Lincolnshire, England, known for its medieval church St Botolph's ("The Stump") and its role in early English Puritan emigration to America.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034dcafe88190a438034a539ffa52 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a6587c8190b76b1005178c29a9 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2bd6cdc819096c6829dc8d5d61e |
completed | March 23, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:55 p.m.