Triple
T22733973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semper |
E562213
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ellen Semper
Ellen Semper is a person notable enough to be recognized as a bearer of the surname Semper, though specific widely known biographical details about her are not well documented.
|
E1552290
|
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: Ellen Semper | Statement: [Semper, hasNotableBearer, Ellen Semper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Semper Context triple: [Semper, hasNotableBearer, Ellen Semper]
-
A.
Ellen Benz
Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
-
B.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Ellen Wander
Ellen Wander is a film and television producer known for her work on various independent and genre projects.
-
D.
Ellen Morris
Ellen Morris is a character in the coming-of-age film "My Dog Skip," appearing as part of the story surrounding the young protagonist and his beloved dog in 1940s Mississippi.
-
E.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
- 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: Ellen Semper Triple: [Semper, hasNotableBearer, Ellen Semper]
Generated description
Ellen Semper is a person notable enough to be recognized as a bearer of the surname Semper, though specific widely known biographical details about her are not well documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Semper Target entity description: Ellen Semper is a person notable enough to be recognized as a bearer of the surname Semper, though specific widely known biographical details about her are not well documented.
-
A.
Ellen Benz
Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
-
B.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Ellen Wander
Ellen Wander is a film and television producer known for her work on various independent and genre projects.
-
D.
Ellen Morris
Ellen Morris is a character in the coming-of-age film "My Dog Skip," appearing as part of the story surrounding the young protagonist and his beloved dog in 1940s Mississippi.
-
E.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796e4970819090fb9c9926673938 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fca5f10819083604273aae3fcc3 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93bc59e481909e2fbee11a29b7a9 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9488db048190b73ff89215ffeb74 |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:22 p.m.