Triple
T13147913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Marx |
E312387
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Karina Fernandez
Karina Fernandez is an actress known for her role in the biographical drama film "Miss Marx."
|
E1068416
|
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: Karina Fernandez | Statement: [Miss Marx, starring, Karina Fernandez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karina Fernandez Context triple: [Miss Marx, starring, Karina Fernandez]
-
A.
Carla Jimenez
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
-
B.
Daniella García
Daniella García is a member of the García-Lorido family, known for its ties to the entertainment industry through actor Andy García and actress Dominik García-Lorido.
-
C.
Otmara Marrero
Otmara Marrero is an American actress best known for her leading role as Izzy Morales in the television series "StartUp."
-
D.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
-
E.
Adriana Medina
Adriana Medina is a contemporary perfumer known for creating modern, luminous fragrances for major luxury brands such as Lancôme.
- 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: Karina Fernandez Triple: [Miss Marx, starring, Karina Fernandez]
Generated description
Karina Fernandez is an actress known for her role in the biographical drama film "Miss Marx."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karina Fernandez Target entity description: Karina Fernandez is an actress known for her role in the biographical drama film "Miss Marx."
-
A.
Carla Jimenez
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
-
B.
Daniella García
Daniella García is a member of the García-Lorido family, known for its ties to the entertainment industry through actor Andy García and actress Dominik García-Lorido.
-
C.
Otmara Marrero
Otmara Marrero is an American actress best known for her leading role as Izzy Morales in the television series "StartUp."
-
D.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
-
E.
Adriana Medina
Adriana Medina is a contemporary perfumer known for creating modern, luminous fragrances for major luxury brands such as Lancôme.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f5c0d88190b51cd65f6b7f8e6d |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c83a3e04819097b6e0b5a3161b9a |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 9:10 p.m.