Triple
T6079308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm 50 |
E135481
|
entity |
| Predicate | quotedOrAlludedIn |
P48133
|
FINISHED |
| Object | Christian preaching on worship and judgment |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Christian preaching on worship and judgment | Statement: [Psalm 50, quotedOrAlludedIn, Christian preaching on worship and judgment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotedOrAlludedIn Context triple: [Psalm 50, quotedOrAlludedIn, Christian preaching on worship and judgment]
-
A.
quotedOn
chosen
Indicates that one entity is cited, referenced, or mentioned within another source, document, or context.
-
B.
titleAlludesTo
Indicates that one title makes an indirect or suggestive reference to the content, theme, or another work associated with the other.
-
C.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
D.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
E.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
- F. None of above.
Provenance (3 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.