Triple
T16893077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John I, Margrave of Brandenburg |
E424223
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John I, Margrave of Brandenburg, was a 13th-century German nobleman from the House of Ascania who significantly expanded and consolidated the Margraviate of Brandenburg.
|
E1239646
|
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: John | Statement: [John I, Margrave of Brandenburg, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John I, Margrave of Brandenburg, givenName, John]
-
A.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
-
D.
John
John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
-
E.
John
John is the given name of John Maitland, 1st Duke of Lauderdale, a prominent 17th-century Scottish nobleman and statesman.
- 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: John Triple: [John I, Margrave of Brandenburg, givenName, John]
Generated description
John I, Margrave of Brandenburg, was a 13th-century German nobleman from the House of Ascania who significantly expanded and consolidated the Margraviate of Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John I, Margrave of Brandenburg, was a 13th-century German nobleman from the House of Ascania who significantly expanded and consolidated the Margraviate of Brandenburg.
-
A.
John
John of Brandenburg-Küstrin was a 16th-century German nobleman who ruled the Margraviate of Brandenburg-Küstrin and played a notable role in the politics of the Holy Roman Empire.
-
B.
John
John I, Duke of Brittany, was a 13th-century French nobleman who ruled Brittany and was involved in the complex feudal politics between France and England.
-
C.
John
John III, Duke of Brabant, was a 14th-century nobleman who ruled the Duchy of Brabant and played a significant role in the politics of the Low Countries.
-
D.
John
John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
-
E.
John
John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc6b97c8190b18aca477d6ef647 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79e86ac8190b89c4ebb05250b4f |
completed | May 10, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a00c8e20ab08190aaf7e5666f1e9ad8 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9b7967081909353f1c911cb2633 |
completed | May 10, 2026, 6:08 p.m. |
Created at: April 10, 2026, 5:29 a.m.