Triple
T16186948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John Berchmans |
E392830
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of Saint John Berchmans, a young 17th-century Jesuit scholastic venerated in the Catholic Church for his piety and dedication to religious life.
|
E1201355
|
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: [Saint John Berchmans, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Saint John Berchmans, givenName, John]
-
A.
John
John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
-
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 given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
D.
John
John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
-
E.
John
John is the given name of John Cornford, a British poet and communist who was killed while fighting in the Spanish Civil War.
- 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: [Saint John Berchmans, givenName, John]
Generated description
John is the given name of Saint John Berchmans, a young 17th-century Jesuit scholastic venerated in the Catholic Church for his piety and dedication to religious life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of Saint John Berchmans, a young 17th-century Jesuit scholastic venerated in the Catholic Church for his piety and dedication to religious life.
-
A.
John
John is the given name of Saint John of Nepomuk, a 14th-century Bohemian priest venerated as a martyr and patron saint of confessors.
-
B.
John
John is the given name of Saint John of Capistrano, a 15th-century Franciscan friar renowned as a preacher, theologian, and leader in the defense of Belgrade.
-
C.
John
John is the given name of Saint John of Rila, a revered Bulgarian hermit and the most prominent saint of the Bulgarian Orthodox Church.
-
D.
John
John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
-
E.
John
John is the given name of John Foxe the Younger, an English clergyman and son of the martyrologist John Foxe.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22061f47481909ededd5eed40f5a4 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000787d3fc8190a32d53a177fedb6d |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000a454dc48190935be6c1543088f1 |
completed | May 10, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000aaedb5c8190858536fc8285648a |
completed | May 10, 2026, 4:33 a.m. |
Created at: April 10, 2026, 5:02 a.m.