Triple
T32979028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus |
E843746
|
entity |
| Predicate | famousSermon |
P43280
|
FINISHED |
| Object | Sermon on the Mount |
—
|
NE NERFINISHED |
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: Sermon on the Mount | Statement: [Jesus, famousSermon, Sermon on the Mount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousSermon Context triple: [Jesus, famousSermon, Sermon on the Mount]
-
A.
containsFamousSermon
Indicates that one entity (such as a text, collection, or recording) includes within it a well-known or widely recognized sermon.
-
B.
sermonBy
chosen
Indicates that a sermon is delivered, authored, or given by a particular person or agent.
-
C.
preachesFrom
Indicates that a person delivers a sermon, teaching, or religious message using a particular text, source, or location as the basis.
-
D.
broadcastOfSermon
Indicates that a sermon is being transmitted or distributed to an audience via some broadcasting medium.
-
E.
numberOfSermons
Indicates the quantity or count of sermons associated with a given entity or context.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:22 a.m.