Triple
T22163267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Najwa Nimri |
E547724
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Najwa Nimri Urrutikoetxea
Najwa Nimri Urrutikoetxea is a Spanish actress and singer best known internationally for her roles in the television series "La casa de papel" (Money Heist) and "Vis a vis" (Locked Up).
|
E1522725
|
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: Najwa Nimri Urrutikoetxea | Statement: [Najwa Nimri, birthName, Najwa Nimri Urrutikoetxea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najwa Nimri Urrutikoetxea Context triple: [Najwa Nimri, birthName, Najwa Nimri Urrutikoetxea]
-
A.
Nora Arnezeder
Nora Arnezeder is a French actress and singer known for her roles in films such as "Maniac" (2012) and "Safe House," as well as various international television series.
-
B.
Emilia Gorriarán
Emilia Gorriarán was the mother of Cuban revolutionary figure Camilo Cienfuegos.
-
C.
Emmanuelle Castro
Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
-
D.
Emanuelle Naim
Emanuelle Naim is an actress known for playing the character Lucy Harris.
-
E.
Ana Navarro
Ana Navarro is a Nicaraguan-American Republican strategist, political commentator, and television personality known for her outspoken views on U.S. politics.
- 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: Najwa Nimri Urrutikoetxea Triple: [Najwa Nimri, birthName, Najwa Nimri Urrutikoetxea]
Generated description
Najwa Nimri Urrutikoetxea is a Spanish actress and singer best known internationally for her roles in the television series "La casa de papel" (Money Heist) and "Vis a vis" (Locked Up).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Najwa Nimri Urrutikoetxea Target entity description: Najwa Nimri Urrutikoetxea is a Spanish actress and singer best known internationally for her roles in the television series "La casa de papel" (Money Heist) and "Vis a vis" (Locked Up).
-
A.
Nora Arnezeder
Nora Arnezeder is a French actress and singer known for her roles in films such as "Maniac" (2012) and "Safe House," as well as various international television series.
-
B.
Emilia Gorriarán
Emilia Gorriarán was the mother of Cuban revolutionary figure Camilo Cienfuegos.
-
C.
Emmanuelle Castro
Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
-
D.
Emanuelle Naim
Emanuelle Naim is an actress known for playing the character Lucy Harris.
-
E.
Ana Navarro
Ana Navarro is a Nicaraguan-American Republican strategist, political commentator, and television personality known for her outspoken views on U.S. politics.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2f2f90819080b5bb73a6052c24 |
completed | April 28, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ebca89c81908f2c4c3846377be5 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9faeac54819096ff39be4bbd690a |
completed | May 18, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa05b6b7481908cbada539c02556d |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 8:34 p.m.