Triple
T16166028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roses (song) |
E392304
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Love Below |
E392309
|
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: The Love Below | Statement: [Roses (song), partOf, The Love Below]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Love Below Context triple: [Roses (song), partOf, The Love Below]
-
A.
The Love Below
chosen
The Love Below is the genre-blending, funk- and jazz-infused half of OutKast’s double album “Speakerboxxx/The Love Below,” widely acclaimed for its experimental sound and André 3000’s inventive songwriting.
-
B.
The Afterlove
The Afterlove is a pop-oriented studio album by British singer-songwriter James Blunt that blends heartfelt balladry with contemporary production and collaborations.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
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.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.