Triple
T15045323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Making of Me |
E379208
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Keep You To Myself |
E379211
|
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: Keep You To Myself | Statement: [The Making of Me, hasPart, Keep You To Myself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keep You To Myself Context triple: [The Making of Me, hasPart, Keep You To Myself]
-
A.
Keep You To Myself (song)
chosen
"Keep You To Myself" is a song by British songwriter and producer Jimmy Napes, known for his soulful, contemporary pop and R&B-influenced work.
-
B.
For Myself
"For Myself" is a song featured on the album "On Your Radar" by the British-Irish girl group The Saturdays.
-
C.
By Yourself
"By Yourself" is a song by Ty Dolla $ign from his album "Beach House 3," blending R&B and hip-hop elements with themes of independence and self-reliance.
-
D.
One of Your Own
"One of Your Own" is a popular R&B/soul track by Ghanaian singer Efya, showcasing her emotive vocals and contemporary African sound.
-
E.
Be by Myself
"Be by Myself" is a hip hop track by American rapper Asher Roth, known for its introspective lyrics about individuality and self-reflection.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.