Triple
T32658784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.O.S |
E834934
|
entity |
| Predicate | hasChartImpact |
P83289
|
FINISHED |
| Object | early chart success for Jonas Brothers |
—
|
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: early chart success for Jonas Brothers | Statement: [S.O.S, hasChartImpact, early chart success for Jonas Brothers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChartImpact Context triple: [S.O.S, hasChartImpact, early chart success for Jonas Brothers]
-
A.
chartImpact
chosen
Indicates how one factor or action influences the shape, position, or behavior of a chart or graphical representation.
-
B.
hasChart
Indicates that one entity is associated with, represented by, or documented through a chart belonging to or describing it.
-
C.
hasCharting
Indicates that one entity provides or supports charting or graphical data visualization capabilities for another entity.
-
D.
hasVisualImpact
Indicates that one entity affects or influences the visual appearance or aesthetic perception of another.
-
E.
hasImpactScale
Indicates the degree or magnitude of impact that one entity or action has on another, typically expressed along a defined scale.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:08 a.m.