Triple
T25581369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolin’ Out |
E641248
|
entity |
| Predicate | hasPerformerCareerPhase |
P50750
|
FINISHED |
| Object | post-Motown solo career of Dennis Edwards |
—
|
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: post-Motown solo career of Dennis Edwards | Statement: [Coolin’ Out, hasPerformerCareerPhase, post-Motown solo career of Dennis Edwards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerCareerPhase Context triple: [Coolin’ Out, hasPerformerCareerPhase, post-Motown solo career of Dennis Edwards]
-
A.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
B.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
C.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
D.
hasLivePerformanceEra
Indicates that an entity is associated with a specific period or era characterized by its live performance activity.
-
E.
appliesDuringCareerPhase
chosen
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 4:12 p.m.