Triple
T2445333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beltsville, Maryland |
E53377
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Truman Belt
Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
|
E267114
|
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: Truman Belt | Statement: [Beltsville, Maryland, namedAfter, Truman Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truman Belt Context triple: [Beltsville, Maryland, namedAfter, Truman Belt]
-
A.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
B.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
-
E.
Clyde
Clyde is a masculine given name of Scottish origin, historically associated with the River Clyde in Scotland and used widely in English-speaking countries.
- 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: Truman Belt Triple: [Beltsville, Maryland, namedAfter, Truman Belt]
Generated description
Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Truman Belt Target entity description: Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
-
A.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
B.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
-
E.
Clyde
Clyde is a masculine given name of Scottish origin, historically associated with the River Clyde in Scotland and used widely in English-speaking countries.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef58eff2c81909cbf3346705940a3 |
completed | March 9, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef656ae0c81908753cc5a8b5fe704 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 6, 2026, 9:43 p.m.