Triple
T12850128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Kluge |
E307289
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Kluge
Kluge is a German surname borne by several notable figures, including military leaders, scholars, and public personalities.
|
E1006747
|
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: Kluge | Statement: [von Kluge, hasSpellingVariant, Kluge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kluge Context triple: [von Kluge, hasSpellingVariant, Kluge]
-
A.
Klug
Klug is a surname most notably associated with Aaron Klug, the Nobel Prize–winning chemist and biophysicist known for his work on crystallographic electron microscopy.
-
B.
Cleverly
Cleverly is a Welsh surname most notably associated with former world light-heavyweight boxing champion Nathan Cleverly.
-
C.
the Brilliant
The Brilliant was the epithet of George V of Georgia, a 14th-century king renowned for restoring and strengthening the Georgian kingdom after a period of decline.
-
D.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
-
E.
Wise
Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
- 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: Kluge Triple: [von Kluge, hasSpellingVariant, Kluge]
Generated description
Kluge is a German surname borne by several notable figures, including military leaders, scholars, and public personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kluge Target entity description: Kluge is a German surname borne by several notable figures, including military leaders, scholars, and public personalities.
-
A.
Klug
Klug is a surname most notably associated with Aaron Klug, the Nobel Prize–winning chemist and biophysicist known for his work on crystallographic electron microscopy.
-
B.
Cleverly
Cleverly is a Welsh surname most notably associated with former world light-heavyweight boxing champion Nathan Cleverly.
-
C.
the Brilliant
The Brilliant was the epithet of George V of Georgia, a 14th-century king renowned for restoring and strengthening the Georgian kingdom after a period of decline.
-
D.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
-
E.
Wise
Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9701fe684819084582d1b4c809429 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba5059c81908be3b8b371518f41 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:36 p.m.