Triple
T5182702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úrsula Corberó |
E116957
|
entity |
| Predicate | spouseOrPartner |
P13
|
FINISHED |
| Object |
Chino Darín
Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
|
E499991
|
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: Chino Darín | Statement: [Úrsula Corberó, spouseOrPartner, Chino Darín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chino Darín Context triple: [Úrsula Corberó, spouseOrPartner, Chino Darín]
-
A.
Diego Luna
Diego Luna is a Mexican actor, director, and producer best known internationally for his roles in films like "Y Tu Mamá También" and "Rogue One: A Star Wars Story."
-
B.
Gabriel Basso
Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
-
C.
Greg Garcia
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
-
D.
Édgar Ramírez
Édgar Ramírez is a Venezuelan actor known for his versatile performances in both Hollywood and international films, including acclaimed roles in projects like "Carlos," "Zero Dark Thirty," and "Joy."
-
E.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
- 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: Chino Darín Triple: [Úrsula Corberó, spouseOrPartner, Chino Darín]
Generated description
Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chino Darín Target entity description: Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
-
A.
Diego Luna
Diego Luna is a Mexican actor, director, and producer best known internationally for his roles in films like "Y Tu Mamá También" and "Rogue One: A Star Wars Story."
-
B.
Gabriel Basso
Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
-
C.
Greg Garcia
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
-
D.
Édgar Ramírez
Édgar Ramírez is a Venezuelan actor known for his versatile performances in both Hollywood and international films, including acclaimed roles in projects like "Carlos," "Zero Dark Thirty," and "Joy."
-
E.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed95b2900819082b534e27484171e |
completed | March 21, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69bedb18aed481908f75994eff2468f7 |
completed | March 21, 2026, 5:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedb729f2c819092a0b7195809538f |
completed | March 21, 2026, 5:54 p.m. |
Created at: March 20, 2026, 1:46 p.m.