Triple
T17402130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Frederick, Grand Duke of Baden |
E423116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Carl
Carl is the given name of Charles Frederick, the Grand Duke of Baden, a prominent German ruler of the late 18th and early 19th centuries.
|
E1267912
|
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: Carl | Statement: [Charles Frederick, Grand Duke of Baden, givenName, Carl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Context triple: [Charles Frederick, Grand Duke of Baden, givenName, Carl]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Carl
Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
-
C.
Carl
Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
-
D.
Carl
Carl is the given name of Carl von Martius, a notable 19th-century German botanist and explorer known for his extensive studies of Brazilian flora.
-
E.
Carl
Carl is the given name of the German Romantic composer and conductor Carl Maria von Weber, known for works such as the opera "Der Freischütz."
- 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: Carl Triple: [Charles Frederick, Grand Duke of Baden, givenName, Carl]
Generated description
Carl is the given name of Charles Frederick, the Grand Duke of Baden, a prominent German ruler of the late 18th and early 19th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Target entity description: Carl is the given name of Charles Frederick, the Grand Duke of Baden, a prominent German ruler of the late 18th and early 19th centuries.
-
A.
Carl
Carl is the given name of Charles Frederick, Duke of Holstein-Gottorp, an 18th-century German prince linked to the Russian imperial family.
-
B.
Carl
Carl is the given name of Charles III William, the Margrave of Baden-Durlach, a German nobleman and regional ruler of the early 18th century.
-
C.
Carl
Carl is the given name of Charles I Louis, the 17th-century Elector Palatine of the Rhine in the Holy Roman Empire.
-
D.
Carl
Carl is the given name of Carl von Schirach, a historical figure associated with Nazi Germany.
-
E.
Carl
Carl is the given name of Carl Friedrich Abel, an 18th-century German composer and virtuoso viola da gamba player.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f5186c8190bdad27acf3c62a6a |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01aaa3bab48190ab62550800dcdf8c |
completed | May 11, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01abc00cf08190b5dad64d9ce0f656 |
completed | May 11, 2026, 10:13 a.m. |
Created at: April 10, 2026, 5:45 a.m.