Triple
T21945368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Man Called Otto |
E541919
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mariana Treviño
Mariana Treviño is a Mexican actress known for her acclaimed film and television work, including a prominent role opposite Tom Hanks in the comedy-drama "A Man Called Otto."
|
E1549547
|
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: Mariana Treviño | Statement: [A Man Called Otto, starring, Mariana Treviño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariana Treviño Context triple: [A Man Called Otto, starring, Mariana Treviño]
-
A.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
B.
Raquel Garza
Raquel Garza is a Mexican actress and comedian known for her work in television, including roles in popular telenovelas and comedy programs.
-
C.
Melissa Villaseñor
Melissa Villaseñor is an American comedian, impressionist, and actress best known as a former cast member of Saturday Night Live.
-
D.
Lourdes Munguía
Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
-
E.
Erika Flores
Erika Flores is an American actress best known for her role as Colleen Cooper on the television series "Dr. Quinn, Medicine Woman."
- 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: Mariana Treviño Triple: [A Man Called Otto, starring, Mariana Treviño]
Generated description
Mariana Treviño is a Mexican actress known for her acclaimed film and television work, including a prominent role opposite Tom Hanks in the comedy-drama "A Man Called Otto."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariana Treviño Target entity description: Mariana Treviño is a Mexican actress known for her acclaimed film and television work, including a prominent role opposite Tom Hanks in the comedy-drama "A Man Called Otto."
-
A.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
B.
Raquel Garza
Raquel Garza is a Mexican actress and comedian known for her work in television, including roles in popular telenovelas and comedy programs.
-
C.
Melissa Villaseñor
Melissa Villaseñor is an American comedian, impressionist, and actress best known as a former cast member of Saturday Night Live.
-
D.
Lourdes Munguía
Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
-
E.
Erika Flores
Erika Flores is an American actress best known for her role as Colleen Cooper on the television series "Dr. Quinn, Medicine Woman."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73cd90048190972ae88b6828f84a |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7ad64f38819086f403627f196573 |
completed | May 18, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7b1cc47081909f58b3462077c323 |
completed | May 18, 2026, 8:48 p.m. |
Created at: April 16, 2026, 7:56 p.m.