Triple
T16092000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederic Riesterer |
E390378
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | "Sexy Bitch" |
E199031
|
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: "Sexy Bitch" | Statement: [Frederic Riesterer, workedOn, "Sexy Bitch"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Sexy Bitch" Context triple: [Frederic Riesterer, workedOn, "Sexy Bitch"]
-
A.
Sexy Bitch
chosen
"Sexy Bitch" is a 2009 electro-house and dance-pop single by French DJ David Guetta featuring Akon that became a global club hit and chart success.
-
B.
Crazy Bitch
"Crazy Bitch" is a hard rock song by American band Buckcherry, best known for its explicit lyrics and party anthem reputation.
-
C.
Skinny Little Bitch
"Skinny Little Bitch" is a 2010 alternative rock song by the American band Hole, fronted by Courtney Love, known for its raw, aggressive sound and caustic lyrics.
-
D.
Get Sexy
"Get Sexy" is a 2009 dance-pop single by British girl group Sugababes, known for its catchy hook and club-oriented production.
-
E.
Ain't That a Bitch
"Ain't That a Bitch" is a blues-rock song by Aerosmith from their 1997 album "Nine Lives," known for its gritty lyrics and soulful groove.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9550f0819092660f6c4b0d708e |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.