Triple
T9170924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mormon |
E220076
|
entity |
| Predicate | compiledForAudience |
P62009
|
FINISHED |
| Object | future generations |
—
|
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: future generations | Statement: [Mormon, compiledForAudience, future generations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compiledForAudience Context triple: [Mormon, compiledForAudience, future generations]
-
A.
relatesToAudience
chosen
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
B.
writesForAudience
Indicates that an agent creates written content intended specifically for a particular audience or readership.
-
C.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
D.
attractsAudience
Indicates that an entity draws the interest or attention of people who choose to watch, listen to, or engage with it.
-
E.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
- 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.