Triple
T12276974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idris Alooma |
E292612
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Idris Alawma |
E320627
|
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: Idris Alawma | Statement: [Idris Alooma, alternativeName, Idris Alawma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idris Alawma Context triple: [Idris Alooma, alternativeName, Idris Alawma]
-
A.
Khalid Abdalla
Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
-
B.
Khalaf
Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
-
C.
Iyad Alsaka
Iyad Alsaka is a senior executive at the global architecture and engineering firm OMA, known for leading major international urban and architectural projects.
-
D.
Abdalla Khalil
Abdalla Khalil was a Sudanese politician who served as Prime Minister of Sudan in the late 1950s.
-
E.
إدريس
chosen
إدريس هو اسم علم عربي يُستخدم للذكور وله جذور دينية وتاريخية في الثقافة الإسلامية.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.