Triple
T9041139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Power of Prayer |
E216629
|
entity |
| Predicate | recordingDecade |
P13320
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [The Power of Prayer, recordingDecade, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingDecade Context triple: [The Power of Prayer, recordingDecade, 2010s]
-
A.
decade
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
B.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
C.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
D.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
E.
decadeContext
chosen
Indicates that the relationship or fact is specifically situated within, or pertains to, a particular decade as its temporal 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b100a348190a59abd6e9b815c63 |
completed | April 1, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.