Triple
T7165009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Specker |
E167043
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Specker
Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
|
E645527
|
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: Specker | Statement: [Ernst Specker, familyName, Specker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Specker Context triple: [Ernst Specker, familyName, Specker]
-
A.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Kiesler
Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
-
C.
Speiser
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
-
D.
Borchers
Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
-
E.
Szekeres
Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
- 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: Specker Triple: [Ernst Specker, familyName, Specker]
Generated description
Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Specker Target entity description: Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
-
A.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Kiesler
Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
-
C.
Speiser
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
-
D.
Borchers
Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
-
E.
Szekeres
Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e832d2548190aacff0de80dbc268 |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adcc145c8190ba65831ed891a225 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae9111048190b9d68932b15aeab9 |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af44076481908d770dd92ed55277 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:47 p.m.