Triple
T14484799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Albert of Prussia |
E359198
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Albert
Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
|
E1101047
|
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: [Prince Albert of Prussia, givenName, Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Context triple: [Prince Albert of Prussia, givenName, Albert]
-
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 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.
-
C.
Albert
Albert is the first name of American television personality and longtime weather anchor Al Roker.
-
D.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
E.
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.
- 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: [Prince Albert of Prussia, givenName, Albert]
Generated description
Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albert Target entity description: Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
-
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 is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
-
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 a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
-
E.
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.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a73cf48190811d6de182e891c4 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd66d3f2448190b8926c479ce95e83 |
completed | May 8, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd67b5cd2c8190871d22ebdc64dd11 |
completed | May 8, 2026, 4:33 a.m. |
Created at: April 10, 2026, 1:20 a.m.