Triple
T9678188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somedays |
E234212
|
entity |
| Predicate | hasTrackSequencePosition |
P13404
|
FINISHED |
| Object | appears on the album Flaming Pie |
—
|
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: appears on the album Flaming Pie | Statement: [Somedays, hasTrackSequencePosition, appears on the album Flaming Pie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackSequencePosition Context triple: [Somedays, hasTrackSequencePosition, appears on the album Flaming Pie]
-
A.
positionInTrackList
chosen
Indicates the specific ordered place an item occupies within a track list.
-
B.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
hasAlbumSequenceContext
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
-
D.
hasTrackContext
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
E.
hasOpeningSequenceLocation
Indicates the specific location where the opening sequence of something (such as a film, show, or event) takes place.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.