Triple
T14520213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mule |
E340629
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kristina Rivera
Kristina Rivera is a film producer known for her work on the Clint Eastwood crime drama "The Mule."
|
E1127880
|
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: Kristina Rivera | Statement: [The Mule, producer, Kristina Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristina Rivera Context triple: [The Mule, producer, Kristina Rivera]
-
A.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
-
B.
Stephanie Rivera
Stephanie Rivera is the wife of NFL head coach Ron Rivera and is known for her involvement in charitable and community initiatives connected to his teams.
-
C.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
D.
Jossalyn Romo
Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
-
E.
Elena Rivera
Elena Rivera is a member of the Rivera family lineage in Disney-Pixar’s film "Coco," descended from the matriarch Mamá Imelda.
- 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: Kristina Rivera Triple: [The Mule, producer, Kristina Rivera]
Generated description
Kristina Rivera is a film producer known for her work on the Clint Eastwood crime drama "The Mule."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristina Rivera Target entity description: Kristina Rivera is a film producer known for her work on the Clint Eastwood crime drama "The Mule."
-
A.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
-
B.
Stephanie Rivera
Stephanie Rivera is the wife of NFL head coach Ron Rivera and is known for her involvement in charitable and community initiatives connected to his teams.
-
C.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
D.
Jossalyn Romo
Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
-
E.
Elena Rivera
Elena Rivera is a member of the Rivera family lineage in Disney-Pixar’s film "Coco," descended from the matriarch Mamá Imelda.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7563188190b50c4413cd5dde37 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe8005a12881909d701188ab0a95b7 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8052b5fc8190841d65a736dadbce |
completed | May 9, 2026, 12:31 a.m. |
Created at: April 10, 2026, 1:22 a.m.