Triple
T5053350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make No Mistake, She’s Mine |
E113838
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Make No Mistake, He’s Mine |
E113838
|
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: Make No Mistake, He’s Mine | Statement: [Make No Mistake, She’s Mine, basedOn, Make No Mistake, He’s Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make No Mistake, He’s Mine Context triple: [Make No Mistake, She’s Mine, basedOn, Make No Mistake, He’s Mine]
-
A.
Make No Mistake, He’s Mine
chosen
"Make No Mistake, He’s Mine" is a 1984 pop duet by Kim Carnes and Barbra Streisand that became a notable hit and later inspired a successful country remake.
-
B.
No Mistakes
"No Mistakes" is a song by American rapper and producer Kanye West from his 2018 album "Ye," noted for its soulful production and introspective lyrics.
-
C.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
-
D.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
-
E.
My Favorite Mistake
"My Favorite Mistake" is a young adult novel by equestrian and author Georgina Bloomberg that blends teen drama with the competitive world of horseback riding.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6214988190980d7c7ae4bba902 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:38 p.m.