Triple
T30858542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fools Who Dream |
E785995
|
entity |
| Predicate | targetAudienceResponse |
P155271
|
FINISHED |
| Object | empathy for dreamers |
—
|
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: empathy for dreamers | Statement: [The Fools Who Dream, targetAudienceResponse, empathy for dreamers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAudienceResponse Context triple: [The Fools Who Dream, targetAudienceResponse, empathy for dreamers]
-
A.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
B.
targetAudienceTheme
chosen
Indicates the thematic focus or type of audience that a work, message, or product is specifically intended to appeal to or address.
-
C.
targetAudienceKnowledge
Indicates the level or type of prior knowledge that the intended audience is expected to have.
-
D.
targetAudienceRank
Indicates the relative priority or importance level assigned to a particular audience segment compared to other potential audiences.
-
E.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
- 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 29, 2026, 8:46 p.m.