Triple
T8840767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurodance |
E210382
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object |
La Bouche
La Bouche was a German-American Eurodance duo best known for their mid-1990s international hits like "Be My Lover" and "Sweet Dreams."
|
E761101
|
NE FINISHED |
How this triple was built (4 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: La Bouche | Statement: [Eurodance, notableArtist, La Bouche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bouche Context triple: [Eurodance, notableArtist, La Bouche]
-
A.
Decléor
Decléor is a French skincare brand renowned for its use of aromatherapy and essential oils in professional-grade facial and body treatments.
-
B.
LaFace
LaFace is an American record label best known for launching and developing major R&B and pop acts such as TLC, Usher, and Toni Braxton.
-
C.
Uvernet-Fours
Uvernet-Fours is a small mountain commune in southeastern France, known for its alpine landscapes and proximity to the Pra-Loup ski resort.
-
D.
Les Kiss
Les Kiss is an Australian rugby union coach and former player known for his roles with various professional teams and national sides, including the Queensland Reds.
-
E.
Les Cras
Les Cras is a highly regarded Premier Cru vineyard in Chambolle-Musigny, Burgundy, known for producing elegant, mineral-driven Pinot Noir wines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: La Bouche Triple: [Eurodance, notableArtist, La Bouche]
Generated description
La Bouche was a German-American Eurodance duo best known for their mid-1990s international hits like "Be My Lover" and "Sweet Dreams."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Bouche Target entity description: La Bouche was a German-American Eurodance duo best known for their mid-1990s international hits like "Be My Lover" and "Sweet Dreams."
-
A.
Decléor
Decléor is a French skincare brand renowned for its use of aromatherapy and essential oils in professional-grade facial and body treatments.
-
B.
LaFace
LaFace is an American record label best known for launching and developing major R&B and pop acts such as TLC, Usher, and Toni Braxton.
-
C.
Uvernet-Fours
Uvernet-Fours is a small mountain commune in southeastern France, known for its alpine landscapes and proximity to the Pra-Loup ski resort.
-
D.
Les Kiss
Les Kiss is an Australian rugby union coach and former player known for his roles with various professional teams and national sides, including the Queensland Reds.
-
E.
Les Cras
Les Cras is a highly regarded Premier Cru vineyard in Chambolle-Musigny, Burgundy, known for producing elegant, mineral-driven Pinot Noir wines.
- F. None of above. chosen
Provenance (5 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf899c5b288190b854acebc9fe33d1 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ab6c1a8819097b8a84902a10296 |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:48 p.m.