Triple
T8436948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaise |
E199250
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Blasius
Blasius is a Latinized form of the given name Blaise, historically associated with Christian saints and scholars.
|
E733784
|
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: Blasius | Statement: [Blaise, hasVariant, Blasius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blasius Context triple: [Blaise, hasVariant, Blasius]
-
A.
Saffman
Saffman is a surname most notably associated with Philip G. Saffman, a prominent British-American applied mathematician and fluid dynamicist.
-
B.
Knudsen
Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
-
C.
Stokes
Stokes is a surname most famously associated with George Gabriel Stokes, a 19th-century Irish mathematician and physicist known for his foundational work in fluid dynamics and optics.
-
D.
Lommel
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
-
E.
Reynolds
Reynolds is a common English surname borne by numerous notable figures in entertainment, politics, sports, and other fields.
- 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: Blasius Triple: [Blaise, hasVariant, Blasius]
Generated description
Blasius is a Latinized form of the given name Blaise, historically associated with Christian saints and scholars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blasius Target entity description: Blasius is a Latinized form of the given name Blaise, historically associated with Christian saints and scholars.
-
A.
Saffman
Saffman is a surname most notably associated with Philip G. Saffman, a prominent British-American applied mathematician and fluid dynamicist.
-
B.
Knudsen
Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
-
C.
Stokes
Stokes is a surname most famously associated with George Gabriel Stokes, a 19th-century Irish mathematician and physicist known for his foundational work in fluid dynamics and optics.
-
D.
Lommel
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
-
E.
Reynolds
Reynolds is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13446788190ad52a4fd6e8b498a |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d7d19608190ad3160fc00f8d4b0 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:08 p.m.