Triple
T10964178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Makes You Country |
E259052
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kris Bergsnes |
E897263
|
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: Kris Bergsnes | Statement: [What Makes You Country, producer, Kris Bergsnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Bergsnes Context triple: [What Makes You Country, producer, Kris Bergsnes]
-
A.
Kris Bergsnes
chosen
Kris Bergsnes is a music producer known for his work on the track "Kill the Lights."
-
B.
Lee Haugen
Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
-
C.
Mark Kvamme
Mark Kvamme is an American venture capitalist and entrepreneur known for co-founding the comedy video website Funny or Die and for his prominent role at the venture capital firm Sequoia Capital.
-
D.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
E.
Gro Espeseth
Gro Espeseth is a former Norwegian football defender renowned for her key role in Norway’s successful women’s national team during the 1990s, including winning the 1995 FIFA Women’s World Cup and the 2000 Olympic gold medal.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.