Triple
T3495075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wand |
E73830
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
|
E400867
|
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: Sofia Arreguin | Statement: [Wand, hasMember, Sofia Arreguin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Arreguin Context triple: [Wand, hasMember, Sofia Arreguin]
-
A.
Mariana Grajales
Mariana Grajales was a prominent Cuban independence activist revered as a symbol of patriotism and often honored as the "Mother of the Cuban Nation."
-
B.
Catalina Cortés
Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
-
C.
Mayte Garcia
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
-
D.
Veronica Anzures
Veronica Anzures is a neighborhood in Mexico City known for its residential character and proximity to major commercial and cultural areas.
-
E.
Marta Ornelas
Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
- 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: Sofia Arreguin Triple: [Wand, hasMember, Sofia Arreguin]
Generated description
Sofia Arreguin is a member of the creative collective or group known as Wand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofia Arreguin Target entity description: Sofia Arreguin is a member of the creative collective or group known as Wand.
-
A.
Mariana Grajales
Mariana Grajales was a prominent Cuban independence activist revered as a symbol of patriotism and often honored as the "Mother of the Cuban Nation."
-
B.
Catalina Cortés
Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
-
C.
Mayte Garcia
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
-
D.
Veronica Anzures
Veronica Anzures is a neighborhood in Mexico City known for its residential character and proximity to major commercial and cultural areas.
-
E.
Marta Ornelas
Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaebed881909d9cbc9c4c1f138f |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5335e1e348190912455cd90009558 |
completed | March 14, 2026, 10:07 a.m. |
| NEDg | Description generation | batch_69b533e758e481909405ca6bf48ba756 |
completed | March 14, 2026, 10:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5345d7098819087ba99920e0ad990 |
completed | March 14, 2026, 10:11 a.m. |
Created at: March 8, 2026, 3:18 p.m.