Triple
T12580764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert of Brandenburg |
E300329
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Albert
Albert was a common given name borne by numerous historical figures, including princes, scientists, and religious leaders across Europe.
|
E270293
|
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: [Albert of Brandenburg, givenName, Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Context triple: [Albert of Brandenburg, givenName, Albert]
-
A.
John
John "Jack" Twyman was an American Hall of Fame professional basketball player best known for his scoring prowess with the Cincinnati Royals and his advocacy for teammate Maurice Stokes.
-
B.
John
John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
-
C.
John
John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
-
D.
John
John is the given name of the British civil engineer John Wolfe Barry, best known for designing London's Tower Bridge.
-
E.
John
John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
- 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: [Albert of Brandenburg, givenName, Albert]
Generated description
Albert was a common given name borne by numerous historical figures, including princes, scientists, and religious leaders across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albert Target entity description: Albert was a common given name borne by numerous historical figures, including princes, scientists, and religious leaders across Europe.
-
A.
Albert
chosen
Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
-
B.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
C.
Albert
Albert was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
-
D.
Albert
Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
-
E.
Albert
Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566fe5dc8190910bc7ad34593a58 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65702435c8190a69e681c56a19b16 |
completed | May 2, 2026, 7:56 p.m. |
Created at: April 9, 2026, 5:02 p.m.