Triple
T33337760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Like Your Lovin' (Do You Like Mine?) |
E853586
|
entity |
| Predicate | featuresSongSampledIn |
P198848
|
FINISHED |
| Object | Crazy in Love |
E47968
|
NE 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: Crazy in Love | Statement: [I Like Your Lovin' (Do You Like Mine?), featuresSongSampledIn, Crazy in Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSongSampledIn Context triple: [I Like Your Lovin' (Do You Like Mine?), featuresSongSampledIn, Crazy in Love]
-
A.
featuresSongFrom
chosen
Indicates that one musical work includes or incorporates a song originating from another source.
-
B.
isOneOfTheMostSampledTracksIn
Indicates that a track ranks among those most frequently sampled within a specified context, such as a genre, region, or time period.
-
C.
scriptUsedInLyrics
Indicates that a particular writing system or script is used to write or represent the lyrics of a song or musical work.
-
D.
featuresSongAbout
Indicates that one entity includes or presents a song whose subject or content is about another entity.
-
E.
featuresReRecordedSong
Indicates that an entity (such as an album, release, or performance) includes a song that has been recorded again in a new version distinct from its original recording.
- F. None of above.
Provenance (4 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a019d1407588190b3b9b83fca2e61fe |
completed | May 11, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3551ffec8c8190985ff23ef1dbca03 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a019c760e3081909cfe9c0603727e48 |
completed | May 11, 2026, 9:08 a.m. |
Created at: May 1, 2026, 1:34 a.m.