Triple
T37152462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparks Fly |
E920395
|
entity |
| Predicate | basedOnCareerTransition |
P88172
|
FINISHED |
| Object | transition from television star to recording artist |
—
|
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: transition from television star to recording artist | Statement: [Sparks Fly, basedOnCareerTransition, transition from television star to recording artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCareerTransition Context triple: [Sparks Fly, basedOnCareerTransition, transition from television star to recording artist]
-
A.
basedOnCareerOf
chosen
Indicates that something (such as a work, character, or storyline) is derived from, inspired by, or modeled on the career or professional life of a particular person.
-
B.
isCareerBased
Indicates that something is determined, structured, or oriented around a person’s career or professional path.
-
C.
basedOnProfession
Indicates that the relationship or action is determined or derived from a person’s profession or occupational role.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
careerImpact
Indicates how one entity influences or changes another entity’s professional trajectory, opportunities, or outcomes.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 3, 2026, 4:15 p.m.