Triple
T15452005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missundaztood |
E371676
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Don't Let Me Get Me |
E1064867
|
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: Don't Let Me Get Me | Statement: [Missundaztood, hasPart, Don't Let Me Get Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don't Let Me Get Me Context triple: [Missundaztood, hasPart, Don't Let Me Get Me]
-
A.
Don't Let Me Get Me
chosen
"Don't Let Me Get Me" is a pop-rock song by American singer Pink, known for its introspective lyrics about self-image and identity from her 2001 album *Missundaztood*.
-
B.
I Can't Get Enough
"I Can't Get Enough" is a 2019 collaborative dance-pop single by Benny Blanco, Tainy, Selena Gomez, and J Balvin.
-
C.
Call on Me
"Call on Me" is a hip hop single by American rapper Nelly, known for its smooth, melodic style and R&B-influenced production.
-
D.
Call on Me
"Call on Me" is a 2004 dance track by Eric Prydz that became internationally famous for its catchy Steve Winwood–sampled hook and provocative aerobics-themed music video.
-
E.
Don’t Worry ’Bout Me
"Don’t Worry ’Bout Me" is a popular American song, best known as a jazz and pop standard from the Great American Songbook.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b3c5a481908057e94fd84f3cfc |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.