Triple
T864441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleming |
E18669
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Flemming
Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
|
E101246
|
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: Flemming | Statement: [Fleming, hasVariant, Flemming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flemming Context triple: [Fleming, hasVariant, Flemming]
-
A.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
B.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
C.
Norrström
Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Robertsen
Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
- 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: Flemming Triple: [Fleming, hasVariant, Flemming]
Generated description
Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flemming Target entity description: Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
-
A.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
B.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
C.
Norrström
Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Robertsen
Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6956488190a5644cdd5b55684f |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c7999c81908b2f27610c263b7f |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a5a452f88190ad560d33ab42d71f |
completed | March 4, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a63398f081908b63b4f79aa81f85 |
completed | March 4, 2026, 3:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.