Triple
T29959616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman Like Me |
E761002
|
entity |
| Predicate | followsInArtistCareerContext |
P156543
|
FINISHED |
| Object | album 25 |
—
|
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: album 25 | Statement: [Woman Like Me, followsInArtistCareerContext, album 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInArtistCareerContext Context triple: [Woman Like Me, followsInArtistCareerContext, album 25]
-
A.
followedByArtist
Indicates that one artist chooses to follow or subscribe to another artist, typically in a social or digital platform context.
-
B.
followedBySingleArtist
Indicates that one artist directly succeeds another as the sole following artist in a sequence or ordering.
-
C.
chronologyInArtistDiscographyFollowedBy
chosen
Indicates that one item in an artist’s discography directly follows another in chronological release order.
-
D.
basedOnArtistCareerOf
Indicates that something is derived from, inspired by, or conceptually grounded in the professional career or body of work of a particular artist.
-
E.
followsCareerWith
Indicates that one entity pursues or continues a professional path in conjunction with, or in a similar manner to, another 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 29, 2026, 6:28 p.m.