Triple
T8118927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Words |
E189550
|
entity |
| Predicate | artistCareerPhase |
P30618
|
FINISHED |
| Object | post-viral era |
—
|
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-viral era | Statement: [In Your Words, artistCareerPhase, post-viral era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistCareerPhase Context triple: [In Your Words, artistCareerPhase, post-viral era]
-
A.
musicCareer
Indicates that an entity has a professional involvement or trajectory in the field of music, such as performing, composing, or producing as an occupation.
-
B.
publicationStatusDuringArtistLife
Indicates whether the work was published while the artist was still alive or only posthumously.
-
C.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
D.
timeInArtistCareer
chosen
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.