Triple
T22282927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia Chirine |
E550783
|
entity |
| Predicate | grandmother |
P3524
|
FINISHED |
| Object | Nazli Sabri |
—
|
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: Nazli Sabri | Statement: [Nadia Chirine, grandmother, Nazli Sabri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazli Sabri Context triple: [Nadia Chirine, grandmother, Nazli Sabri]
-
A.
Nazli Sabri
chosen
Nazli Sabri was the Queen consort of Egypt and Sudan as the wife of King Fuad I and the mother of King Farouk I.
-
B.
Safia Farkash
Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
-
C.
Nazli Hanem
Nazli Hanem was an Egyptian princess and Ottoman noblewoman, best known as a daughter of the powerful 19th-century ruler Muhammad Ali Pasha.
-
D.
Hind Sabri
Hind Sabri is a prominent Tunisian actress and lawyer best known for her acclaimed film and television roles in the Arab world.
-
E.
Safa Zaki
Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.