Triple
T33550493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frida |
E859317
|
entity |
| Predicate | featuresArtistWhoLaterBecameMemberOf |
P203681
|
FINISHED |
| Object | ABBA |
E48050
|
NE 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: ABBA | Statement: [Frida, featuresArtistWhoLaterBecameMemberOf, ABBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistWhoLaterBecameMemberOf Context triple: [Frida, featuresArtistWhoLaterBecameMemberOf, ABBA]
-
A.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
-
B.
recordingArtistMemberOf
Indicates that a recording artist is a member of, or affiliated with, a particular musical group, band, or ensemble.
-
C.
originalBandMember
Indicates that a person was part of the band’s lineup at the time the band was first formed.
-
D.
hasBandMember
Indicates that a musical group includes a specific individual as one of its members.
-
E.
formerBandMembership
Indicates that an entity previously belonged to a musical group or band but is no longer a member.
- F. None of above. chosen
Provenance (5 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01c51e2d088190b9dcce5b6de1cb9b |
completed | May 11, 2026, 12:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35afce4e5c819089d7ad824a099e15 |
completed | June 19, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a01c4c715a48190b7435de8a9d86fd4 |
completed | May 11, 2026, noon |
| PDg | Predicate description generation | batch_6a01c51ca9cc819082f3dac7cff17fc3 |
completed | May 11, 2026, 12:01 p.m. |
Created at: May 1, 2026, 1:39 a.m.