Triple
T15452028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missundaztood |
E371676
|
entity |
| Predicate | influencedCareerPhase |
P11376
|
FINISHED |
| Object | transition from R&B to pop-rock for Pink |
—
|
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 R&B to pop-rock for Pink | Statement: [Missundaztood, influencedCareerPhase, transition from R&B to pop-rock for Pink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedCareerPhase Context triple: [Missundaztood, influencedCareerPhase, transition from R&B to pop-rock for Pink]
-
A.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
B.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
-
C.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
careerImpact
chosen
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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:30 a.m.