Triple
T13947230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masterjam |
E335419
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Any Love |
E160787
|
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: Any Love | Statement: [Masterjam, notableTrack, Any Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Any Love Context triple: [Masterjam, notableTrack, Any Love]
-
A.
Any Love
chosen
"Any Love" is a 1988 R&B/soul album by Luther Vandross that showcases his smooth vocal style and romantic balladry.
-
B.
All Love
"All Love" is a melodic hip-hop track by Lil Durk that reflects on loyalty, struggle, and personal growth over a smooth, emotional beat.
-
C.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
D.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
-
E.
With Love
With Love is a studio album by American singer-songwriter Rosie Thomas that showcases her gentle indie-folk style and introspective, heartfelt songwriting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ca49a881909e77b5a2ae13265f |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.