Triple
T19258064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young and in Love |
E481570
|
entity |
| Predicate | featuresArtistAgeCategory |
P135080
|
FINISHED |
| Object | teenage singer |
—
|
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: teenage singer | Statement: [Young and in Love, featuresArtistAgeCategory, teenage singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistAgeCategory Context triple: [Young and in Love, featuresArtistAgeCategory, teenage singer]
-
A.
performerAgeAtRelease
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
B.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
C.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
D.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
E.
sampledArtist
Indicates that one artist has used a portion of another artist’s work (a sample) in their own creation.
- F. None of above. chosen
Provenance (4 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8752488190ae2dfd2d79373a4b |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:28 p.m.