Triple
T6360049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taking Chances |
E143086
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kristian Lundin |
E542318
|
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: Kristian Lundin | Statement: [Taking Chances, producer, Kristian Lundin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristian Lundin Context triple: [Taking Chances, producer, Kristian Lundin]
-
A.
Kristian Lundin
chosen
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
B.
Christopher Akerlind
Christopher Akerlind is an American lighting designer renowned for his work in theatre, opera, and Broadway productions, including multiple award-winning designs.
-
C.
Daniel Nannskog
Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
-
D.
Erik Edlund
Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
-
E.
Erik Smitt
Erik Smitt is a cinematographer best known for his work on the animated superhero film "Incredibles 2."
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cafb3d4c8190a00e66839c3eaf01 |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:32 p.m.