Triple
T21737915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Alquist |
E536573
|
entity |
| Predicate | impactOnPlot |
P98526
|
FINISHED |
| Object | motivates Jesse Pinkman's need to escape |
—
|
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: motivates Jesse Pinkman's need to escape | Statement: [Todd Alquist, impactOnPlot, motivates Jesse Pinkman's need to escape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnPlot Context triple: [Todd Alquist, impactOnPlot, motivates Jesse Pinkman's need to escape]
-
A.
chartImpact
Indicates how one factor or action influences the shape, position, or behavior of a chart or graphical representation.
-
B.
influencesPlotOf
chosen
Indicates that one entity has an effect on or helps shape the storyline or narrative development of another entity.
-
C.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
D.
impactOnMeta
Indicates the effect or influence that one entity, action, or condition has on Meta as an outcome or consequence.
-
E.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0d33dc81908a4a79abc33355d1 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.