Triple
T7963969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahlil Beats |
E184950
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Red Café
Red Café is a Brooklyn-born American rapper known for his mixtapes, club anthems, and collaborations within the East Coast hip-hop scene.
|
E703380
|
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: Red Café | Statement: [Jahlil Beats, associatedAct, Red Café]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Café Context triple: [Jahlil Beats, associatedAct, Red Café]
-
A.
Telecafé
Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over the city.
-
B.
Café
Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
-
C.
Le Café
Le Café is a satirical verse dialogue by French poet Jean-Baptiste Rousseau that critiques contemporary society and literary culture through a conversation set in a coffeehouse.
-
D.
Tangierine Café
Tangierine Café is a quick-service restaurant in the Morocco Pavilion at EPCOT, known for serving Middle Eastern and North African-inspired dishes.
-
E.
Cafe 4
Cafe 4 is a Fantastic Four–themed quick-service restaurant located in Marvel Super Hero Island at Universal’s Islands of Adventure.
- 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: Red Café Triple: [Jahlil Beats, associatedAct, Red Café]
Generated description
Red Café is a Brooklyn-born American rapper known for his mixtapes, club anthems, and collaborations within the East Coast hip-hop scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Café Target entity description: Red Café is a Brooklyn-born American rapper known for his mixtapes, club anthems, and collaborations within the East Coast hip-hop scene.
-
A.
Telecafé
Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over the city.
-
B.
Rocket Café
Rocket Café is a space-themed quick-service restaurant located in Discoveryland at Disneyland Paris, known for its futuristic decor and casual dining options.
-
C.
Café
Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
-
D.
Le Café
Le Café is a satirical verse dialogue by French poet Jean-Baptiste Rousseau that critiques contemporary society and literary culture through a conversation set in a coffeehouse.
-
E.
Tangierine Café
Tangierine Café is a quick-service restaurant in the Morocco Pavilion at EPCOT, known for serving Middle Eastern and North African-inspired dishes.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43b20148190ba9a4dd00a9f5862 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3307ebd481908c1ec4b0be270a77 |
completed | March 31, 2026, 8:48 p.m. |
Created at: March 30, 2026, 5:12 p.m.