Triple
T29309309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed |
E743187
|
entity |
| Predicate | isTrackOnCompilation |
P138980
|
FINISHED |
| Object | Martina McBride – Greatest Hits |
—
|
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: Martina McBride – Greatest Hits | Statement: [Blessed, isTrackOnCompilation, Martina McBride – Greatest Hits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTrackOnCompilation Context triple: [Blessed, isTrackOnCompilation, Martina McBride – Greatest Hits]
-
A.
isOnCompilation
Indicates that one entity (typically a work or item) is included as part of a compilation or collection.
-
B.
isOnCompilationAlbum
chosen
Indicates that a work (such as a song or track) appears as part of a compilation album.
-
C.
isTransitionalTrackOn
Indicates that a given track functions as a transitional segment connecting two other sections or states within a sequence or system.
-
D.
isTrackEvent
Indicates that an event is classified as a track-related occurrence, such as a specific action or interaction being recorded for tracking or analytics purposes.
-
E.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 1:15 p.m.