Triple
T6962876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Get Filthy Rich in Rising Asia |
E161415
|
entity |
| Predicate | protagonistArc |
P20798
|
FINISHED |
| Object | rise from poverty to wealth |
—
|
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: rise from poverty to wealth | Statement: [How to Get Filthy Rich in Rising Asia, protagonistArc, rise from poverty to wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistArc Context triple: [How to Get Filthy Rich in Rising Asia, protagonistArc, rise from poverty to wealth]
-
A.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
B.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
C.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
D.
notableStoryArc
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
E.
protagonistField
Indicates that the subject is the main or central character (protagonist) within the specified narrative or 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf197b0819085bd0433c8a7f716 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.