Triple
T10245556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance (Beyoncé album) |
E240202
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Honey Dijon
Honey Dijon is an acclaimed American DJ, producer, and trans rights advocate known for her influential work in house music and collaborations with major artists and fashion brands.
|
E853882
|
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: Honey Dijon | Statement: [Renaissance (Beyoncé album), producer, Honey Dijon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey Dijon Context triple: [Renaissance (Beyoncé album), producer, Honey Dijon]
-
A.
Honey Chile
"Honey Chile" is a 1967 Motown soul single by Martha and the Vandellas that became one of the group's later charting hits.
-
B.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
C.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
-
D.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
E.
Honey for Tea
Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
- 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: Honey Dijon Triple: [Renaissance (Beyoncé album), producer, Honey Dijon]
Generated description
Honey Dijon is an acclaimed American DJ, producer, and trans rights advocate known for her influential work in house music and collaborations with major artists and fashion brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honey Dijon Target entity description: Honey Dijon is an acclaimed American DJ, producer, and trans rights advocate known for her influential work in house music and collaborations with major artists and fashion brands.
-
A.
Honey Chile
"Honey Chile" is a 1967 Motown soul single by Martha and the Vandellas that became one of the group's later charting hits.
-
B.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
C.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
-
D.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
E.
Honey for Tea
Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fcab0bfc8190b47bc165ef3eb15d |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d70fc3b15081908d1b67a7094c6210 |
completed | April 9, 2026, 2:32 a.m. |
Created at: April 6, 2026, 11:26 a.m.