Triple
T4728408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus of Bethany |
E104942
|
entity |
| Predicate | causeOfMiracle |
P694
|
FINISHED |
| Object | illness |
—
|
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: illness | Statement: [Lazarus of Bethany, causeOfMiracle, illness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfMiracle Context triple: [Lazarus of Bethany, causeOfMiracle, illness]
-
A.
miracleDescription
Indicates that a miraculous event or phenomenon is being described or characterized.
-
B.
miraclePerformedBy
Indicates that a miraculous event is carried out or caused by a particular agent or entity.
-
C.
viewOnMiracles
Indicates a stance or belief an entity holds regarding the existence, nature, or possibility of miracles.
-
D.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
numberOfMiraclesTraditionallyAssociated
Indicates the traditionally recognized count of miracles that are associated with a particular entity or subject.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.