Triple
T15192902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Politicians in My Eyes |
E363063
|
entity |
| Predicate | associatedBandMembers |
P22076
|
FINISHED |
| Object | Hackney brothers |
—
|
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: Hackney brothers | Statement: [Politicians in My Eyes, associatedBandMembers, Hackney brothers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBandMembers Context triple: [Politicians in My Eyes, associatedBandMembers, Hackney brothers]
-
A.
hasBandMember
chosen
Indicates that a musical group includes a specific individual as one of its members.
-
B.
featuresBandMembers
Indicates that something includes or presents specific band members as part of its content or composition.
-
C.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
-
D.
bandMemberContributor
Indicates that an entity contributes to a band in the role of a member, participating in its musical or creative activities.
-
E.
recordingArtistMemberOf
Indicates that a recording artist is a member of, or affiliated with, a particular musical group, band, or ensemble.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.