Triple
T36682009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Movin' On |
E905707
|
entity |
| Predicate | hasListenerImpact |
P198614
|
FINISHED |
| Object | often cited as helping listeners through difficult times |
—
|
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: often cited as helping listeners through difficult times | Statement: [I'm Movin' On, hasListenerImpact, often cited as helping listeners through difficult times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasListenerImpact Context triple: [I'm Movin' On, hasListenerImpact, often cited as helping listeners through difficult times]
-
A.
hasVisualImpact
Indicates that one entity affects or influences the visual appearance or aesthetic perception of another.
-
B.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
-
C.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
-
D.
hasImpactFocus
Indicates that an entity is primarily concerned with or directed toward a particular type or area of impact.
-
E.
hasImpactArea
Indicates that an entity affects, influences, or has consequences within a specific area, domain, or scope.
- F. None of above. chosen
Provenance (4 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
| PDg | Predicate description generation | batch_69fef5cec8208190b85665ab6a511a08 |
completed | May 9, 2026, 8:52 a.m. |
Created at: May 3, 2026, 4:12 p.m.