Triple
T16178354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fathia Fuad |
E392623
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Nazli Sabri |
E390647
|
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: Nazli Sabri | Statement: [Fathia Fuad, mother, Nazli Sabri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazli Sabri Context triple: [Fathia Fuad, mother, 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.
Safa Zaki
Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
-
E.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ab3108190a84fc2dfe61d5044 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000787d3fc8190a32d53a177fedb6d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.