Triple
T13744286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Registration (deluxe edition) |
E330173
|
entity |
| Predicate | hasAdditionalTrack |
P3284
|
FINISHED |
| Object | We Can Make It Better |
—
|
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: We Can Make It Better | Statement: [Late Registration (deluxe edition), hasAdditionalTrack, We Can Make It Better]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalTrack Context triple: [Late Registration (deluxe edition), hasAdditionalTrack, We Can Make It Better]
-
A.
containsAdditionalTracksBeyond
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
B.
hasTrack
chosen
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
hasBonusTrackStatus
Indicates whether an item (such as a track or release) is designated as a bonus track in relation to a primary work or edition.
-
D.
hasTwoTracks
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
-
E.
hasTailTracks
Indicates that an entity exhibits or leaves behind tail-shaped tracks or imprints as evidence of its movement or presence.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.