Triple
T3126065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roses |
E65298
|
entity |
| Predicate | chronologyWithinAlbum |
P45515
|
FINISHED |
| Object | track on Late Registration |
—
|
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: track on Late Registration | Statement: [Roses, chronologyWithinAlbum, track on Late Registration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyWithinAlbum Context triple: [Roses, chronologyWithinAlbum, track on Late Registration]
-
A.
albumSequence
Indicates that one album directly follows another in a defined ordered sequence, such as a discography or series.
-
B.
chronologyWithinArtistOeuvre
Indicates the temporal ordering of works within a single artist’s body of work, specifying how one piece relates in time to others by the same artist.
-
C.
chronologyInBeyoncéSingles
Indicates the chronological ordering relationship between Beyoncé’s singles, specifying which single comes before or after another in time.
-
D.
chronologyNextAlbum
Indicates that one album directly follows another in chronological release order within an artist’s discography.
-
E.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52e9f348190aa15b2c0d252719f |
completed | March 8, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.