Triple
T10527473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Selenis Leyva
Selenis Leyva is a Cuban-American actress best known for her role as Gloria Mendoza on the Netflix series "Orange Is the New Black."
|
E869500
|
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: Selenis Leyva | Statement: [Lopez vs Lopez, starring, Selenis Leyva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selenis Leyva Context triple: [Lopez vs Lopez, starring, Selenis Leyva]
-
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.
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
-
C.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
D.
Trini Alvarado
Trini Alvarado is an American actress known for her nuanced performances in films such as "Little Women" (1994) and "The Frighteners."
-
E.
Celina Carvajal
Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
- 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: Selenis Leyva Triple: [Lopez vs Lopez, starring, Selenis Leyva]
Generated description
Selenis Leyva is a Cuban-American actress best known for her role as Gloria Mendoza on the Netflix series "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selenis Leyva Target entity description: Selenis Leyva is a Cuban-American actress best known for her role as Gloria Mendoza on the Netflix series "Orange Is the New Black."
-
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.
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
-
C.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
D.
Trini Alvarado
Trini Alvarado is an American actress known for her nuanced performances in films such as "Little Women" (1994) and "The Frighteners."
-
E.
Celina Carvajal
Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.