Triple
T6114823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicia Sierra |
E136333
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Najwa Nimri |
E128936
|
NE FINISHED |
How this triple was built (2 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 | Statement: [Alicia Sierra, portrayedBy, Najwa Nimri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najwa Nimri Context triple: [Alicia Sierra, portrayedBy, Najwa Nimri]
-
A.
Najwa Nimri
chosen
Najwa Nimri is a Spanish actress and singer best known internationally for her roles in acclaimed series like "Money Heist" and "Vis a Vis."
-
B.
Nasim Pedrad
Nasim Pedrad is an Iranian-American actress, comedian, and writer best known for her work on "Saturday Night Live" and various film and television comedies.
-
C.
Gabrielle Anwar
Gabrielle Anwar is a British-American actress best known for roles in projects like "Scent of a Woman," "The Tudors," and "Burn Notice."
-
D.
Dina Shihabi
Dina Shihabi is a Saudi Arabian–born actress known for her prominent roles in American film and television, including the series "Jack Ryan."
-
E.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.