Triple
T3982766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrens |
E86796
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
|
E403377
|
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: Katia Behrens | Statement: [Behrens, hasNotableBearer, Katia Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katia Behrens Context triple: [Behrens, hasNotableBearer, Katia Behrens]
-
A.
Katia Winter
Katia Winter is a Swedish actress best known for her roles in television series such as Sleepy Hollow and Dexter.
-
B.
Katia Mann
Katia Mann was a German intellectual and the wife and close confidante of Nobel Prize–winning author Thomas Mann, known for her significant influence on his life and work.
-
C.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
D.
Olga von Velten
Olga von Velten was the second wife of renowned German physicist and physiologist Hermann von Helmholtz, with whom she was associated in late 19th-century German intellectual society.
-
E.
Felicia Minei Behr
Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
- 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: Katia Behrens Triple: [Behrens, hasNotableBearer, Katia Behrens]
Generated description
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katia Behrens Target entity description: Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
A.
Katia Winter
Katia Winter is a Swedish actress best known for her roles in television series such as Sleepy Hollow and Dexter.
-
B.
Katia Mann
Katia Mann was a German intellectual and the wife and close confidante of Nobel Prize–winning author Thomas Mann, known for her significant influence on his life and work.
-
C.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
D.
Olga von Velten
Olga von Velten was the second wife of renowned German physicist and physiologist Hermann von Helmholtz, with whom she was associated in late 19th-century German intellectual society.
-
E.
Felicia Minei Behr
Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540257c188190899b00bf1d0247d2 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b54111e5188190ab8ec23124c22981 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54193105c81909e2a4e368aae36e8 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:33 p.m.