Triple
T9171045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plates of Ether |
E220079
|
entity |
| Predicate | narrativeSpan |
P11197
|
FINISHED |
| Object | from the time of the Tower of Babel to the destruction of the Jaredites |
—
|
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: from the time of the Tower of Babel to the destruction of the Jaredites | Statement: [Plates of Ether, narrativeSpan, from the time of the Tower of Babel to the destruction of the Jaredites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeSpan Context triple: [Plates of Ether, narrativeSpan, from the time of the Tower of Babel to the destruction of the Jaredites]
-
A.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
B.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
E.
narrativePassage
Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.