Triple
T30876033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel the Lamanite |
E786477
|
entity |
| Predicate | prophesiedSign |
P22416
|
FINISHED |
| Object | a day and a night and a day with no darkness |
—
|
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: a day and a night and a day with no darkness | Statement: [Samuel the Lamanite, prophesiedSign, a day and a night and a day with no darkness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prophesiedSign Context triple: [Samuel the Lamanite, prophesiedSign, a day and a night and a day with no darkness]
-
A.
prophecyMade
Indicates that a prophetic statement or prediction has been declared by one entity concerning a future event or outcome involving another entity.
-
B.
subjectOfProphecy
chosen
Indicates that the subject is foretold or predicted to play a significant role or experience a specific event according to a prophecy.
-
C.
prophecyKnownAs
Indicates that a particular prophecy is referred to or recognized by a specific name or title.
-
D.
prophecyHeardBy
Indicates that a prophecy was heard or received by a particular entity.
-
E.
prophecyFulfilled
Indicates that a previously made prophecy has come to pass as foretold.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:48 p.m.