Triple
T23214347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give Me Your Heart Tonight |
E580692
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tear It Up |
—
|
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: Tear It Up | Statement: [Give Me Your Heart Tonight, hasPart, Tear It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tear It Up Context triple: [Give Me Your Heart Tonight, hasPart, Tear It Up]
-
A.
Tear It Up
"Tear It Up" is an R&B track by R. Kelly from his 2013 studio album *Black Panties*.
-
B.
Tear It Up
chosen
"Tear It Up" is a rock song by Rod Stewart featured on his 1981 album *Tonight I’m Yours*.
-
C.
Tear It Off
"Tear It Off" is a track from the hip-hop album *Quik Is the Name* by rapper and producer DJ Quik.
-
D.
Tearing Apart
"Tearing Apart" is a song by the American Christian metalcore band The Rapture, known for its intense sound and spiritually themed lyrics.
-
E.
Rip and Tear
"Rip and Tear" is a hard rock song by the American glam metal band L.A. Guns, recognized as one of their signature tracks from the late 1980s.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19163b9b88190a68fa6d08d37bdb7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.