Triple
T34363631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like to Be You |
E881947
|
entity |
| Predicate | bestKnownRecording |
P151388
|
FINISHED |
| Object | Shawn Mendes and Julia Michaels version |
—
|
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: Shawn Mendes and Julia Michaels version | Statement: [Like to Be You, bestKnownRecording, Shawn Mendes and Julia Michaels version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownRecording Context triple: [Like to Be You, bestKnownRecording, Shawn Mendes and Julia Michaels version]
-
A.
bestKnownRecordingYear
Indicates the year in which the most notable or widely recognized recording of something was made or released.
-
B.
isPopularRecordingOf
chosen
Indicates that one entity is a widely known or frequently enjoyed version or performance of another work, such as a song or composition.
-
C.
bestKnownSingle
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
-
D.
notableRecordingType
Indicates that the subject is notably associated with recordings of a particular type or format.
-
E.
influentialRecording
Indicates that a particular recording has had a significant impact on other works, artists, or the development of a style, genre, or field.
- 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_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:58 a.m.