Triple
T5464971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt |
E122685
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
|
E520084
|
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: Rooseveldt | Statement: [Roosevelt, hasVariant, Rooseveldt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rooseveldt Context triple: [Roosevelt, hasVariant, Rooseveldt]
-
A.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
B.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
C.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
D.
Lange Niezel
Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
-
E.
Heumen
Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
- 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: Rooseveldt Triple: [Roosevelt, hasVariant, Rooseveldt]
Generated description
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rooseveldt Target entity description: Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
A.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
B.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
C.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
D.
Lange Niezel
Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
-
E.
Heumen
Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd920590b481909b92091678ff1414 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41524c3c81908425a02162496c15 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf41c9cc5c81909506d0b1cd2041d0 |
completed | March 22, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4220a9ac8190bb9dab529dfe8749 |
completed | March 22, 2026, 1:13 a.m. |
Created at: March 20, 2026, 2:08 p.m.