Triple
T35144535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walking on the Chinese Wall |
E1014785
|
entity |
| Predicate | includedInArtistDiscographyOf |
P130404
|
FINISHED |
| Object | Philip Bailey |
E326177
|
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: Philip Bailey | Statement: [Walking on the Chinese Wall, includedInArtistDiscographyOf, Philip Bailey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInArtistDiscographyOf Context triple: [Walking on the Chinese Wall, includedInArtistDiscographyOf, Philip Bailey]
-
A.
followsInDiscographyOf
Indicates that one musical release comes after another in the ordered sequence of works within the same artist’s discography.
-
B.
hasPartInDiscographyOf
chosen
Indicates that one entity constitutes a component or item within the discography (recorded works catalog) of another entity.
-
C.
isDiscographyOf
Indicates that one entity is the complete collection of recorded works (discography) belonging to another entity, typically an artist or band.
-
D.
hasDiscographyWith
Indicates a relationship where two or more musical entities are associated through a shared or jointly produced discography.
-
E.
hasDiscographyIn
Indicates that an entity has released or contributed to musical recordings within a particular region, market, or catalog context.
- F. None of above.
Provenance (4 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a397d5fb7e0819097e50cdcbc3f16e5 |
completed | June 22, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.