Triple
T229861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amr Moussa |
E4387
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Amr Moussa |
E4387
|
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: Amr Moussa | Statement: [Amr Moussa, name, Amr Moussa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amr Moussa Context triple: [Amr Moussa, name, Amr Moussa]
-
A.
Amr Moussa
chosen
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.
-
B.
Ahmed Aboul Gheit
Ahmed Aboul Gheit is an Egyptian diplomat and former foreign minister who serves as the Secretary-General of the Arab League.
-
C.
Adly Mansour
Adly Mansour is an Egyptian judge and politician who served as the interim President of Egypt following the 2013 ouster of Mohamed Morsi.
-
D.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
-
E.
Mostafa Madbouly
Mostafa Madbouly is an Egyptian politician who has served as the Prime Minister of Egypt, overseeing the country's executive government.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cac7994819080b0b3b10808f8e5 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736e4010819089000ed60dbf519c |
completed | Feb. 28, 2026, 10:59 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.