Triple
T2283249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gethsemane prayer |
E51326
|
entity |
| Predicate | witnessedBy |
P1165
|
FINISHED |
| Object |
John
John is traditionally regarded as one of Jesus’ closest disciples and the presumed author of the Gospel of John in the New Testament.
|
E167813
|
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: [Gethsemane prayer, witnessedBy, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Gethsemane prayer, witnessedBy, John]
-
A.
John
John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
-
B.
John
John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
-
C.
John
John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
-
D.
John
John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
-
E.
John
John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
- 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: [Gethsemane prayer, witnessedBy, John]
Generated description
John is traditionally regarded as one of Jesus’ closest disciples and the presumed author of the Gospel of John in the New Testament.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is traditionally regarded as one of Jesus’ closest disciples and the presumed author of the Gospel of John in the New Testament.
-
A.
John
John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
-
B.
John
chosen
John is one of the four canonical Gospels in the New Testament, presenting a distinct theological portrait of Jesus Christ with a strong emphasis on his divinity.
-
C.
John
John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
-
D.
John
John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
-
E.
John
John is the given name of John Proctor, a historical figure best known as a farmer executed during the Salem witch trials and later popularized as a central character in Arthur Miller’s play "The Crucible."
- F. None of above.
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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21d6d748190980128c1bc5b9621 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebeee5a808190981c06b78d30f004 |
completed | March 9, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69aec43352d88190a4e9ae4f315938db |
completed | March 9, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec4adb21c8190a89d53588ad75438 |
completed | March 9, 2026, 1:01 p.m. |
Created at: March 4, 2026, 7:48 p.m.