Triple
T34363609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Were You in the Morning? |
E881946
|
entity |
| Predicate | bestKnownAsTrackFor |
P131544
|
FINISHED |
| Object | Shawn Mendes |
—
|
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: Shawn Mendes | Statement: [Where Were You in the Morning?, bestKnownAsTrackFor, Shawn Mendes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownAsTrackFor Context triple: [Where Were You in the Morning?, bestKnownAsTrackFor, Shawn Mendes]
-
A.
notableTrack
Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
-
B.
bestKnownSingle
chosen
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
-
C.
isAcclaimedMixtapeTrackFrom
Indicates that a given track is a highly praised or critically acclaimed song originating from a particular mixtape.
-
D.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
-
E.
isPopularRecordingOf
Indicates that one entity is a widely known or frequently enjoyed version or performance of another work, such as a song or composition.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:58 a.m.