Triple
T18504629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Plateau Records |
E452167
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object |
Antoinette
Antoinette is an American hip hop artist known for her late-1980s and early-1990s recordings, including work released through Next Plateau Records.
|
E1327886
|
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: Antoinette | Statement: [Next Plateau Records, signedArtist, Antoinette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antoinette Context triple: [Next Plateau Records, signedArtist, Antoinette]
-
A.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
B.
Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
-
C.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
D.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
E.
Arlette
Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
- 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: Antoinette Triple: [Next Plateau Records, signedArtist, Antoinette]
Generated description
Antoinette is an American hip hop artist known for her late-1980s and early-1990s recordings, including work released through Next Plateau Records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antoinette Target entity description: Antoinette is an American hip hop artist known for her late-1980s and early-1990s recordings, including work released through Next Plateau Records.
-
A.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
B.
Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
-
C.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
D.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
E.
Arlette
Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0471456b348190a6bf62f1614f3d07 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472fee3a88190aa0cb5a8ff0af66a |
completed | May 13, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0473fa3c5c8190aad12a5d952a796a |
completed | May 13, 2026, 12:52 p.m. |
Created at: April 10, 2026, 11:36 a.m.