Triple
T11791394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Roebling |
E280394
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Karl
Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
|
E79216
|
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: Karl | Statement: [Karl Roebling, givenName, Karl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Context triple: [Karl Roebling, givenName, Karl]
-
A.
Karl
Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
-
B.
Karl
Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
-
C.
Karl
Karl was the given name of Archduke Charles Joseph of Austria, a Habsburg archduke and younger brother of Empress Maria Theresa in the 18th century.
-
D.
Karl
Karl is the given name of Archduke Franz Karl of Austria, a 19th-century Habsburg archduke and father of Emperor Franz Joseph I.
-
E.
Karl
Karl is the given first name of the Marvel Comics sorcerer and Doctor Strange adversary Baron Mordo.
- 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: Karl Triple: [Karl Roebling, givenName, Karl]
Generated description
Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl Target entity description: Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
-
A.
Karl
chosen
Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
-
B.
Karl
Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
C.
Karl
Karl is the given name of Karl Liebknecht, the German socialist politician and co-founder of the Communist Party of Germany.
-
D.
Karl
Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
-
E.
Karl
Karl is the given first name of the Swedish songwriter and record producer known professionally as Shellback.
- F. None of above.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a588d2c881909783c2d678c2a474 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4174972ac819094f3938b18a5081e |
completed | May 1, 2026, 3 a.m. |
| NEDg | Description generation | batch_69f41f16f43c81909f5d36e8b4b0b9c3 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4225a4b5c8190958aaddbd10035b1 |
completed | May 1, 2026, 3:47 a.m. |
Created at: April 8, 2026, 9:42 p.m.