Triple
T16636433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Ross |
E404215
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
De Ross
De Ross is a surname that may refer to various individuals, often of European origin, and can appear with different capitalization or spacing variants.
|
E1224439
|
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: De Ross | Statement: [de Ross, hasSpellingVariant, De Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Ross Context triple: [de Ross, hasSpellingVariant, De Ross]
-
A.
Roos
Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
-
B.
Roos
Roos is the common nickname for the North Melbourne Football Club, an Australian rules football team in the Australian Football League.
-
C.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
D.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
E.
Ballaison
Ballaison is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
- 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: De Ross Triple: [de Ross, hasSpellingVariant, De Ross]
Generated description
De Ross is a surname that may refer to various individuals, often of European origin, and can appear with different capitalization or spacing variants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Ross Target entity description: De Ross is a surname that may refer to various individuals, often of European origin, and can appear with different capitalization or spacing variants.
-
A.
Roos
Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
-
B.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
C.
Roos
Roos is the common nickname for the North Melbourne Football Club, an Australian rules football team in the Australian Football League.
-
D.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
E.
Ballaison
Ballaison is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378ea4b848190bf7c95dad8a855f0 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc28df48190b01c1328df24df60 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e8cff9881908c6b86da38fc2f08 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f53918481908d84ecf50a562266 |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:17 a.m.