Triple
T10409693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Albert Vasa |
E245354
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John Albert
John Albert was a 17th-century Polish prince of the Vasa dynasty who served as Bishop of Warmia and later as Cardinal.
|
E863769
|
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 Albert | Statement: [John Albert Vasa, givenName, John Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Albert Context triple: [John Albert Vasa, givenName, John Albert]
-
A.
Al Albert
Al Albert is an American sportscaster best known for his long tenure as a play-by-play announcer for basketball, including work with the NBA's Indiana Pacers and various college teams.
-
B.
William Arthur
William Arthur was an Irish-born Baptist minister best known as the father of U.S. President Chester A. Arthur.
-
C.
William Christopher
William Christopher was an American actor best known for playing the gentle and compassionate Father Mulcahy on the television series M*A*S*H.
-
D.
James Albert King
James Albert King was the paternal grandfather of civil rights leader Martin Luther King Jr. and an influential figure in the King family’s religious and social legacy.
-
E.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
- 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 Albert Triple: [John Albert Vasa, givenName, John Albert]
Generated description
John Albert was a 17th-century Polish prince of the Vasa dynasty who served as Bishop of Warmia and later as Cardinal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Albert Target entity description: John Albert was a 17th-century Polish prince of the Vasa dynasty who served as Bishop of Warmia and later as Cardinal.
-
A.
Al Albert
Al Albert is an American sportscaster best known for his long tenure as a play-by-play announcer for basketball, including work with the NBA's Indiana Pacers and various college teams.
-
B.
William Arthur
William Arthur was an Irish-born Baptist minister best known as the father of U.S. President Chester A. Arthur.
-
C.
William Christopher
William Christopher was an American actor best known for playing the gentle and compassionate Father Mulcahy on the television series M*A*S*H.
-
D.
James Albert King
James Albert King was the paternal grandfather of civil rights leader Martin Luther King Jr. and an influential figure in the King family’s religious and social legacy.
-
E.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e9084fc81909e1d46a111a1ef2b |
completed | April 10, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:09 p.m.