Triple
T13055658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebony Eyes |
E327563
|
entity |
| Predicate | chronologicallyWithinCareerPhase |
P50750
|
FINISHED |
| Object | classic 1970s period of Stevie Wonder |
—
|
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: classic 1970s period of Stevie Wonder | Statement: [Ebony Eyes, chronologicallyWithinCareerPhase, classic 1970s period of Stevie Wonder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallyWithinCareerPhase Context triple: [Ebony Eyes, chronologicallyWithinCareerPhase, classic 1970s period of Stevie Wonder]
-
A.
appliesDuringCareerPhase
chosen
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
B.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
C.
designedDuringCareerStage
Indicates that something was designed while the person was in a specific stage of their career.
-
D.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
E.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:58 p.m.