Triple
T35846241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LoveJo2 |
E1036215
|
entity |
| Predicate | targetAudienceShift |
P196914
|
FINISHED |
| Object | from teen audience to adult audience |
—
|
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 teen audience to adult audience | Statement: [LoveJo2, targetAudienceShift, from teen audience to adult audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAudienceShift Context triple: [LoveJo2, targetAudienceShift, from teen audience to adult audience]
-
A.
targetMarketShiftedTo
chosen
Indicates that the primary intended audience or customer segment for something has changed from one market to another.
-
B.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
C.
targetAudienceTheme
Indicates the thematic focus or type of audience that a work, message, or product is specifically intended to appeal to or address.
-
D.
targetAudienceRank
Indicates the relative priority or importance level assigned to a particular audience segment compared to other potential audiences.
-
E.
targetBehaviorChange
Indicates a relationship where an intervention or influence is intended to alter, modify, or redirect an entity’s behavior from its current state to a desired new state.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: May 3, 2026, 4:06 p.m.