Triple
T9058681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounce |
E217066
|
entity |
| Predicate | coSongwriter |
P83542
|
FINISHED |
| Object | Andreas Carlsson |
E535948
|
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: Andreas Carlsson | Statement: [Bounce, coSongwriter, Andreas Carlsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Carlsson Context triple: [Bounce, coSongwriter, Andreas Carlsson]
-
A.
Andreas Carlsson
chosen
Andreas Carlsson is a Swedish songwriter and producer known for crafting international pop hits for artists such as Britney Spears, Backstreet Boys, and Celine Dion.
-
B.
Johan Carlsson
Johan Carlsson is a music producer known for his work on the film soundtrack for "Legend."
-
C.
Erik Carlsson
Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
-
D.
Andreas Nilsson
Andreas Nilsson is a Swedish film and music video director known for his surreal, darkly humorous visual style in videos for prominent international artists.
-
E.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065bddf1c81909b6134179fe92556 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:10 p.m.