Triple
T7961529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VII |
E184876
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Broken Hearted Girl |
E240618
|
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: Broken Hearted Girl | Statement: [VII, hasPart, Broken Hearted Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broken Hearted Girl Context triple: [VII, hasPart, Broken Hearted Girl]
-
A.
Broken-Hearted Girl
chosen
"Broken-Hearted Girl" is a mid-tempo R&B ballad by Beyoncé that explores emotional vulnerability and fear of heartbreak in a troubled relationship.
-
B.
Brokenhearted
"Brokenhearted" is an R&B ballad by American singer Brandy, best known for its emotional vocals and success as one of the standout hits from her debut album.
-
C.
Breaks My Heart
"Breaks My Heart" is a song featured on the album "After the Storm."
-
D.
Tearin' Up My Heart
"Tearin' Up My Heart" is a late-1990s pop song by American boy band *NSYNC that became one of their signature early hits and helped launch them to international fame.
-
E.
Don’t Go Breaking My Heart
"Don’t Go Breaking My Heart" is a 1976 pop duet by Elton John and Kiki Dee that became a worldwide hit and one of Elton John's signature songs.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe084d9348190b4102fbdfedca297 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.