Triple
T190849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naguib Mahfouz |
E3717
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Naguib |
E3717
|
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: Naguib | Statement: [Naguib Mahfouz, givenName, Naguib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naguib Context triple: [Naguib Mahfouz, givenName, Naguib]
-
A.
Mostafa Madbouly
Mostafa Madbouly is an Egyptian politician who has served as the Prime Minister of Egypt, overseeing the country's executive government.
-
B.
Ali Hakim
Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
C.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
-
D.
Naguib Mahfouz
chosen
Naguib Mahfouz was an Egyptian novelist and Nobel Prize laureate renowned for his richly detailed portrayals of modern Egyptian society, particularly through works like the Cairo Trilogy.
-
E.
Amr Moussa
Amr Moussa is an Egyptian diplomat and politician best known for serving as Egypt’s foreign minister and later as secretary-general of the Arab League.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25964fc5c8190bd3e37daaf695ecf |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30cc6bfdc819091478e5102a3d64f |
completed | Feb. 28, 2026, 3:41 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.