Triple
T18742123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashawn Ross |
E458316
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Yerba Buena
Yerba Buena is a New York–based Latin fusion band known for blending Afro-Cuban, hip hop, and world music influences.
|
E1339441
|
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: Yerba Buena | Statement: [Rashawn Ross, associatedAct, Yerba Buena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerba Buena Context triple: [Rashawn Ross, associatedAct, Yerba Buena]
-
A.
Yerba Buena
Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
-
B.
Yerba Buena
Yerba Buena is a city in northwestern Argentina known as a suburban and residential area adjacent to the provincial capital of San Miguel de Tucumán.
-
C.
Barra de São Francisco
Barra de São Francisco is a municipality in the northwest of the Brazilian state of Espírito Santo, known for its granite mining and agricultural activities.
-
D.
Peralta
Peralta is a Spanish-origin surname borne by various notable individuals and families across the world.
-
E.
Peralta
Peralta is a town in northern Spain’s Navarre region situated along the Arga River.
- 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: Yerba Buena Triple: [Rashawn Ross, associatedAct, Yerba Buena]
Generated description
Yerba Buena is a New York–based Latin fusion band known for blending Afro-Cuban, hip hop, and world music influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yerba Buena Target entity description: Yerba Buena is a New York–based Latin fusion band known for blending Afro-Cuban, hip hop, and world music influences.
-
A.
Yerba Buena
Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
-
B.
Yerba Buena
Yerba Buena is a city in northwestern Argentina known as a suburban and residential area adjacent to the provincial capital of San Miguel de Tucumán.
-
C.
Barra de São Francisco
Barra de São Francisco is a municipality in the northwest of the Brazilian state of Espírito Santo, known for its granite mining and agricultural activities.
-
D.
Peralta
Peralta is a Spanish-origin surname borne by various notable individuals and families across the world.
-
E.
Peralta
Peralta is a town in northern Spain’s Navarre region situated along the Arga River.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053267cf6c8190be105bc4a00d58ef |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a05333ba5ac81908a09a93ce00ff1a9 |
completed | May 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0533d4783c8190a29da50953580177 |
completed | May 14, 2026, 2:30 a.m. |
Created at: April 10, 2026, 11:51 a.m.