Triple
T7555507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose |
E178655
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Roos
Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
|
E673065
|
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: Roos | Statement: [Rose, hasVariant, Roos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roos Context triple: [Rose, hasVariant, Roos]
-
A.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
B.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
C.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
D.
Strauß
Strauß is a German surname most famously associated with Franz Josef Strauß, a prominent 20th-century Bavarian politician and long-time leader of the Christian Social Union (CSU).
-
E.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
- 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: Roos Triple: [Rose, hasVariant, Roos]
Generated description
Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roos Target entity description: Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
-
A.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
B.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
C.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
D.
Strauß
Strauß is a German surname most famously associated with Franz Josef Strauß, a prominent 20th-century Bavarian politician and long-time leader of the Christian Social Union (CSU).
-
E.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c858501a6c81909a2186c264509be5 |
completed | March 28, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c858c151b881908d112c426ba34827 |
completed | March 28, 2026, 10:40 p.m. |
Created at: March 27, 2026, 3:49 p.m.