Triple
T18356480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Child |
E439808
|
entity |
| Predicate | hasStudioAlbumNumber |
P61232
|
FINISHED |
| Object | second UK studio album (With the Beatles) |
—
|
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: second UK studio album (With the Beatles) | Statement: [Little Child, hasStudioAlbumNumber, second UK studio album (With the Beatles)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudioAlbumNumber Context triple: [Little Child, hasStudioAlbumNumber, second UK studio album (With the Beatles)]
-
A.
hasStudioAlbum
Indicates that an entity (typically an artist) is associated with or has released a particular studio album.
-
B.
hasStudioAlbumSequence
chosen
Indicates the ordered sequence in which a subject’s studio albums are released or arranged relative to one another.
-
C.
hasStudioAlbumContext
Indicates that there is a contextual relationship between an entity and a specific studio album, such as information, metadata, or circumstances associated with that album.
-
D.
numberInArtistStudioAlbums
Indicates the count of studio albums an artist has released or is associated with.
-
E.
hasNoStudioAlbums
Indicates that the subject entity does not have any studio albums associated with it.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d776cc8190937d7e1d42a36a3b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.