Triple
T33339681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Someone to Love Me (Naked) |
E853634
|
entity |
| Predicate | hasRemixOrVersionOf |
P9639
|
FINISHED |
| Object |
Someone to Love Me
"Someone to Love Me" is an R&B/hip-hop song originally by Diddy – Dirty Money featuring Lil Wayne, later popularized in a remixed form by Mary J. Blige.
|
E2047636
|
NE FINISHED |
How this triple was built (3 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: Someone to Love Me | Statement: [Someone to Love Me (Naked), hasRemixOrVersionOf, Someone to Love Me]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Someone to Love Me Triple: [Someone to Love Me (Naked), hasRemixOrVersionOf, Someone to Love Me]
Generated description
"Someone to Love Me" is an R&B/hip-hop song originally by Diddy – Dirty Money featuring Lil Wayne, later popularized in a remixed form by Mary J. Blige.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemixOrVersionOf Context triple: [Someone to Love Me (Naked), hasRemixOrVersionOf, Someone to Love Me]
-
A.
hasRemixOrAlternateVersions
Indicates that an original work has one or more remix, alternate, or variant versions derived from it.
-
B.
hasRemixOrCovers
Indicates that one creative work is a remix or cover version of another work.
-
C.
hasRemixRelationshipWith
Indicates that one creative work is a remix, reworked version, or derived adaptation of another work.
-
D.
hasRemixOrEdit
Indicates that one work is a remix or edited version of another work, or that such a derivative relationship exists between two works.
-
E.
hasRemix
chosen
Indicates that one creative work is a remix version derived from or based on another work.
- F. None of above.
Provenance (6 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3552019c608190a094ac3c02837b86 |
completed | June 19, 2026, 2:28 p.m. |
| NEDg | Description generation | batch_6a3555bf634c8190bf6496f3c19085af |
completed | June 19, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a35562162288190947ce79e2b65963b |
completed | June 19, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.