Triple
T20410330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Sing. We Dance. We Steal Things. |
E500570
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Make It Mine |
—
|
NE NERFINISHED |
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 It Mine | Statement: [We Sing. We Dance. We Steal Things., notableSingle, Make It Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make It Mine Context triple: [We Sing. We Dance. We Steal Things., notableSingle, Make It Mine]
-
A.
Make It Mine
chosen
"Make It Mine" is a pop-infused, jazz-tinged song by American singer-songwriter Jason Mraz, known for its upbeat, optimistic tone and intricate vocal phrasing.
-
B.
Everything But Mine
"Everything But Mine" is a pop song by the Backstreet Boys from their 2007 album "Unbreakable."
-
C.
Only Mine
Only Mine is the English title of the Spanish-language film "Solo mía," a drama centered on domestic abuse and the struggle for liberation.
-
D.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
-
E.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.