Triple
T19658743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand Albert I, Duke of Brunswick-Bevern |
E472019
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Albert
Albert is the given name of Ferdinand Albert I, Duke of Brunswick-Bevern, a 17th-century German nobleman of the House of Welf.
|
E1387589
|
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: Albert | Statement: [Ferdinand Albert I, Duke of Brunswick-Bevern, givenName, Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Context triple: [Ferdinand Albert I, Duke of Brunswick-Bevern, givenName, Albert]
-
A.
Albert
Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
-
B.
Albert
Albert is the given first name of American former Major League Baseball pitcher Lee Stange.
-
C.
Albert
Albert is the given first name of Al Jackson Jr., the influential American drummer best known for his work with Booker T. & the M.G.'s and Stax Records.
-
D.
Albert
Albert is the first name of American television personality and longtime weather anchor Al Roker.
-
E.
Albert
Albert is the given first name of film producer "Cubby" Broccoli, best known for co-producing the James Bond movie series.
- 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: Albert Triple: [Ferdinand Albert I, Duke of Brunswick-Bevern, givenName, Albert]
Generated description
Albert is the given name of Ferdinand Albert I, Duke of Brunswick-Bevern, a 17th-century German nobleman of the House of Welf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albert Target entity description: Albert is the given name of Ferdinand Albert I, Duke of Brunswick-Bevern, a 17th-century German nobleman of the House of Welf.
-
A.
Albert
Albert was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
-
B.
Albert
Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
-
C.
Albert
Albert is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Albert
Albert is the given name of Albert Grey, 4th Earl Grey, a British nobleman and colonial administrator.
-
E.
Albert
Albert is the given name of Albert Speer Jr., a prominent German architect and urban planner.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641485ce481908b3860fa5e3a9f6e |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ee4e2e08190a3f9faa22402817f |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077f74e4fc81909fd1c65af64ba68f |
completed | May 15, 2026, 8:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780e305f08190805e21212dec0b39 |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:45 p.m.