Triple
T36537678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl with the Golden Hair |
E900631
|
entity |
| Predicate | hasUnreleasedSongInStudioForm |
P194152
|
FINISHED |
| Object | Get on the Carousel |
—
|
NE NERFINISHED |
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: Get on the Carousel | Statement: [The Girl with the Golden Hair, hasUnreleasedSongInStudioForm, Get on the Carousel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnreleasedSongInStudioForm Context triple: [The Girl with the Golden Hair, hasUnreleasedSongInStudioForm, Get on the Carousel]
-
A.
hasAlbumRelease
Indicates that an entity (typically an artist or band) has released a specific music album.
-
B.
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.
-
C.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
D.
hasNewSong
Indicates that an entity possesses or has released a song that is recent or newly created.
-
E.
hasNotableReleaseArtist
Indicates that an entity (such as a release or work) is associated with a notable artist responsible for its creation or performance.
- F. None of above. chosen
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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:11 p.m.