Triple
T13832401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knock Me Out |
E332432
|
entity |
| Predicate | musicalArtistOccupationOfCreator |
P24742
|
FINISHED |
| Object | singer-songwriter |
—
|
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: singer-songwriter | Statement: [Knock Me Out, musicalArtistOccupationOfCreator, singer-songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalArtistOccupationOfCreator Context triple: [Knock Me Out, musicalArtistOccupationOfCreator, singer-songwriter]
-
A.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
B.
musicalArtistMember
Indicates that one entity is a musical artist who is or was a member of another musical group or act.
-
C.
musicalArtistName
Indicates that the predicate specifies the name of a musical artist associated with an entity.
-
D.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
-
E.
producerArtist
Indicates that one entity serves as the producer (e.g., overseeing or managing the creation) of a work created or performed by the artist entity.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.