Triple
T8674661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewrami |
E205883
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Awrami
Awrami is an alternative name for the Hewrami dialect, a Northwestern Iranian language variety spoken by Kurdish communities in the Hawraman region.
|
E749142
|
NE FINISHED |
How this triple was built (4 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: Awrami | Statement: [Hewrami, hasAlternativeName, Awrami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awrami Context triple: [Hewrami, hasAlternativeName, Awrami]
-
A.
Amrullah
Amrullah is an Afghan politician and former intelligence chief who served as Vice President of Afghanistan and became a prominent opponent of the Taliban.
-
B.
Mao Amin
Mao Amin is a prominent Chinese pop singer who rose to fame in the 1980s for her powerful vocals and influential role in mainland China’s music scene.
-
C.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
D.
Rana Hussein
Rana Hussein is one of the daughters of former Iraqi president Saddam Hussein and his first wife, Sajida Talfah.
-
E.
Hani Salaam
Hani Salaam is a high-ranking and sophisticated Jordanian intelligence chief featured in the espionage thriller "Body of Lies."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Awrami Triple: [Hewrami, hasAlternativeName, Awrami]
Generated description
Awrami is an alternative name for the Hewrami dialect, a Northwestern Iranian language variety spoken by Kurdish communities in the Hawraman region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awrami Target entity description: Awrami is an alternative name for the Hewrami dialect, a Northwestern Iranian language variety spoken by Kurdish communities in the Hawraman region.
-
A.
Amrullah
Amrullah is an Afghan politician and former intelligence chief who served as Vice President of Afghanistan and became a prominent opponent of the Taliban.
-
B.
Mao Amin
Mao Amin is a prominent Chinese pop singer who rose to fame in the 1980s for her powerful vocals and influential role in mainland China’s music scene.
-
C.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
D.
Rana Hussein
Rana Hussein is one of the daughters of former Iraqi president Saddam Hussein and his first wife, Sajida Talfah.
-
E.
Hani Salaam
Hani Salaam is a high-ranking and sophisticated Jordanian intelligence chief featured in the espionage thriller "Body of Lies."
- F. None of above. chosen
Provenance (5 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491cee048190a6f6cddabada76dc |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd43c91c8190a9d1e5d14d764530 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69ceceaab52c819082ecea1bcc38def8 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf962f28819090fb93b6a7a2784b |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:31 p.m.