Triple
T12925707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play On |
E309239
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dhani Lennevald |
E860034
|
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: Dhani Lennevald | Statement: [Play On, producer, Dhani Lennevald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhani Lennevald Context triple: [Play On, producer, Dhani Lennevald]
-
A.
Dhani Lennevald
chosen
Dhani Lennevald is a Swedish singer and songwriter best known as a former member of the pop group A-Teens.
-
B.
Anders Sandvig
Anders Sandvig was a Norwegian dentist and cultural historian best known for collecting historic buildings and artifacts that formed the basis of the Maihaugen open-air museum in Lillehammer.
-
C.
Henrik Jonback
Henrik Jonback is a Swedish songwriter and producer best known for his work on major pop hits, including Britney Spears’ “Toxic.”
-
D.
Björn Andrésen
Björn Andrésen is a Swedish actor and musician best known for his hauntingly ethereal screen presence, particularly in films like "Death in Venice" and later the horror film "Midsommar."
-
E.
Nicolai Gädda
Nicolai Gädda is a renowned Swedish operatic tenor celebrated for his exceptional vocal technique, linguistic versatility, and extensive international recording and performance career in the mid-20th century.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.