Triple
T12365781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs About Girls |
E294864
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Heartbreaker |
E528943
|
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: Heartbreaker | Statement: [Songs About Girls, hasPart, Heartbreaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartbreaker Context triple: [Songs About Girls, hasPart, Heartbreaker]
-
A.
Heartbreaker
"Heartbreaker" is a song by the British rock band Rainbow, featured on their 1979 album "Down to Earth."
-
B.
Heartbreaker
"Heartbreaker" is a 1982 pop ballad performed by Dionne Warwick, written and produced by the Bee Gees, and widely regarded as one of her signature hits.
-
C.
Heartbreaker
Heartbreaker is a 2010 French romantic comedy film in which Andrew Lincoln appears alongside Romain Duris and Vanessa Paradis.
-
D.
Heartbreaker
chosen
"Heartbreaker" is a 1979 rock song by Pat Benatar that became one of her signature hits and a staple of classic rock radio.
-
E.
Heartbreaker
"Heartbreaker" is a popular electro house track by Canadian duo MSTRKRFT, known for its catchy synths and dancefloor-friendly energy.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.