Triple
T3163082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amir |
E66146
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Ameer |
E30384
|
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: Ameer | Statement: [Amir, transliterationVariant, Ameer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ameer Context triple: [Amir, transliterationVariant, Ameer]
-
A.
Entissar Amer
Entissar Amer is the First Lady of Egypt and the wife of President Abdel Fattah el-Sisi.
-
B.
Amri
Amri is an archaeological site in present-day Pakistan associated with the early phases of the Indus Valley Civilization.
-
C.
Maharraqa
Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
-
D.
Amr
chosen
Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
-
E.
Beni-Amir
Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61a4b8481908897a8d39d94c2f4 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235d07ad88190838a845b5ade05a0 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.