Triple
T9997278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Derulo |
E197231
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Want to Want Me |
E781370
|
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: Want to Want Me | Statement: [Jason Derulo, notableWork, Want to Want Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Want to Want Me Context triple: [Jason Derulo, notableWork, Want to Want Me]
-
A.
Want to Want Me
chosen
"Want to Want Me" is a 2015 dance-pop single by Jason Derulo, known for its catchy hook and commercial success worldwide.
-
B.
I Want You to Want Me
"I Want You to Want Me" is a country song by Dwight Yoakam, featured on his album "Tomorrow’s Sounds Today."
-
C.
I Want You to Want Me
"I Want You to Want Me" is a hit rock song by American band Cheap Trick, best known in its live 1979 version that became the group's signature track and a staple of classic rock radio.
-
D.
She Wants Me
She Wants Me is a 2012 independent romantic comedy film starring Josh Gad and Hilary Duff, produced by Mark Burg.
-
E.
Make Me Want To
"Make Me Want To" is a country song by American singer Jimmie Allen that became one of his breakout hits on country radio.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8aa1a881909879a694496f11a5 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2583bd6948190b15a97187e81d958 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.