Triple
T33915903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Energy |
E869450
|
entity |
| Predicate | albumArtistMember |
P85883
|
FINISHED |
| Object | Anita Pointer |
—
|
NE NERFINISHED |
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: Anita Pointer | Statement: [Energy, albumArtistMember, Anita Pointer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: albumArtistMember Context triple: [Energy, albumArtistMember, Anita Pointer]
-
A.
musicalArtistMember
Indicates that one entity is a musical artist who is or was a member of another musical group or act.
-
B.
recordingArtistMemberOf
chosen
Indicates that a recording artist is a member of, or affiliated with, a particular musical group, band, or ensemble.
-
C.
artistDuoMember
Indicates that one entity is a member of a specific artist duo.
-
D.
artistOf
Indicates that one entity is the creator or performer responsible for producing a particular work or piece.
-
E.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.