Triple
T21843364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tortilla Soup |
E539309
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tamara Mello
Tamara Mello is an American actress best known for her roles in the television series "Popular" and various film and TV projects in the late 1990s and early 2000s.
|
E1504881
|
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: Tamara Mello | Statement: [Tortilla Soup, castMember, Tamara Mello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Mello Context triple: [Tortilla Soup, castMember, Tamara Mello]
-
A.
Juliana Malacarne
Juliana Malacarne is a Brazilian-American IFBB professional bodybuilder best known as a multi-time Women's Physique Olympia champion.
-
B.
Mair Tavares
Mair Tavares is a film editor known for work on the Brazilian documentary "Bus 174."
-
C.
Melissa De Sousa
Melissa De Sousa is an American actress best known for her role as Shelby in the romantic comedy-drama film "The Best Man" and its sequels.
-
D.
Giovanna Yannotti
Giovanna Yannotti is an American actress and model best known for her marriage to professional wrestler and Olympic gold medalist Kurt Angle.
-
E.
Sara Sampaio
Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
- 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: Tamara Mello Triple: [Tortilla Soup, castMember, Tamara Mello]
Generated description
Tamara Mello is an American actress best known for her roles in the television series "Popular" and various film and TV projects in the late 1990s and early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Mello Target entity description: Tamara Mello is an American actress best known for her roles in the television series "Popular" and various film and TV projects in the late 1990s and early 2000s.
-
A.
Juliana Malacarne
Juliana Malacarne is a Brazilian-American IFBB professional bodybuilder best known as a multi-time Women's Physique Olympia champion.
-
B.
Mair Tavares
Mair Tavares is a film editor known for work on the Brazilian documentary "Bus 174."
-
C.
Melissa De Sousa
Melissa De Sousa is an American actress best known for her role as Shelby in the romantic comedy-drama film "The Best Man" and its sequels.
-
D.
Giovanna Yannotti
Giovanna Yannotti is an American actress and model best known for her marriage to professional wrestler and Olympic gold medalist Kurt Angle.
-
E.
Sara Sampaio
Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bc8b0fc8190a1ce537e302a3458 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4cbcf4f88190b62e37214f00c496 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4d213ea48190b170e28b10a0c92f |
completed | May 17, 2026, 11:20 p.m. |
Created at: April 16, 2026, 6:55 p.m.