Triple
T11231980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Generation |
E265844
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Bob Sinclar |
E265845
|
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: Bob Sinclar | Statement: [Love Generation, performer, Bob Sinclar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Sinclar Context triple: [Love Generation, performer, Bob Sinclar]
-
A.
Bob Sinclar
chosen
Bob Sinclar is a French DJ, record producer, and remixer known for his influential role in the house music scene and international club hits.
-
B.
Paul Oakenfold
Paul Oakenfold is a pioneering British DJ and record producer known for popularizing trance music worldwide and remixing major artists across electronic and pop genres.
-
C.
Paul van Dyk
Paul van Dyk is a German DJ and producer widely regarded as one of the pioneers and leading figures of the trance music genre.
-
D.
John Digweed
John Digweed is a British DJ and producer renowned as a pioneer of progressive house and for his influential Global Underground mixes and Bedrock Records label.
-
E.
Benny Benassi
Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc4c630c8190a5e43c2108dfb50d |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:30 p.m.