Triple
T3550129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America Ferrera |
E75090
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
America Georgine Ferrera
America Georgine Ferrera is an American actress and producer best known for her award-winning lead role in the television series "Ugly Betty."
|
E368032
|
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: America Georgine Ferrera | Statement: [America Ferrera, birthName, America Georgine Ferrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: America Georgine Ferrera Context triple: [America Ferrera, birthName, America Georgine Ferrera]
-
A.
Lorena
Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
-
B.
Elizabeth Seay DeMeritte Black
Elizabeth Seay DeMeritte Black was the wife of U.S. Supreme Court Justice Hugo L. Black and a member of a prominent Alabama family.
-
C.
Laura Jeanne
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
-
D.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
E.
Doria Ragland
Doria Ragland is an American social worker, yoga instructor, and former makeup artist best known as the mother of Meghan, Duchess of Sussex.
- 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: America Georgine Ferrera Triple: [America Ferrera, birthName, America Georgine Ferrera]
Generated description
America Georgine Ferrera is an American actress and producer best known for her award-winning lead role in the television series "Ugly Betty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: America Georgine Ferrera Target entity description: America Georgine Ferrera is an American actress and producer best known for her award-winning lead role in the television series "Ugly Betty."
-
A.
Lorena
Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
-
B.
Elizabeth Seay DeMeritte Black
Elizabeth Seay DeMeritte Black was the wife of U.S. Supreme Court Justice Hugo L. Black and a member of a prominent Alabama family.
-
C.
Laura Jeanne
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
-
D.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
E.
Doria Ragland
Doria Ragland is an American social worker, yoga instructor, and former makeup artist best known as the mother of Meghan, Duchess of Sussex.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd38c8c8190a4591689ad57c998 |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be9335c81909ba546a079134c8f |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c5cfb608190b451be14246d5481 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ce0e1688190a7ee3d079fb83f3d |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.