Triple
T12713181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John of Görlitz |
E303771
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
|
E996998
|
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 of Görlitz, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John of Görlitz, givenName, John]
-
A.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
B.
John
John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
-
C.
John
John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
-
D.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
E.
John
John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
- 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 of Görlitz, givenName, John]
Generated description
John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
-
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 of Eltham, Earl of Cornwall, was a 14th-century English prince and younger son of King Edward II of England.
-
C.
John
John of Bohemia was a 14th-century King of Bohemia and Count of Luxembourg, renowned as a chivalric warrior who famously died fighting blind at the Battle of Crécy.
-
D.
John
John II, Duke of Brabant was a medieval European nobleman who ruled the Duchy of Brabant and Lothier in the late 13th and early 14th centuries.
-
E.
John
John of Denmark was a 15th-century Danish prince, the son of King Christian I of Denmark and Norway and Queen Dorothea of Brandenburg.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96208fa6481909d6fd43654752a2d |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6735b3de08190ab4665206fe71eb4 |
completed | May 2, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6745a5c148190a76753fdb699706a |
completed | May 2, 2026, 10:02 p.m. |
Created at: April 9, 2026, 5:23 p.m.