Triple
T22977659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasmina Reza |
E571369
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yasmina |
—
|
NE NERFINISHED |
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: Yasmina | Statement: [Yasmina Reza, givenName, Yasmina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasmina Context triple: [Yasmina Reza, givenName, Yasmina]
-
A.
Yasmina
chosen
Yasmina is the given first name of French actress Isabelle Adjani, reflecting her Algerian heritage.
-
B.
Yasmine
Yasmine is the wife of Reza Pahlavi, the exiled Crown Prince of Iran, and a prominent Iranian-American human rights advocate.
-
C.
Zeina
Zeina is a feminine given name commonly used in Arabic-speaking and Middle Eastern cultures, often associated with beauty and grace.
-
D.
Karima
Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
-
E.
Asmaa
Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:48 p.m.