Triple
T16066601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omaar |
E389747
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Omaar |
E389747
|
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: Omaar | Statement: [Omaar, hasNameVariant, Omaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omaar Context triple: [Omaar, hasNameVariant, Omaar]
-
A.
Omaar
chosen
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
B.
Omerelu
Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
-
C.
Hamzaa
Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
-
D.
Sumail
Sumail is a town in the Dohuk Governorate of the Kurdistan Region in northern Iraq, known historically for its Assyrian population and its role in regional conflicts.
-
E.
Obeidat
Obeidat is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837ca628819081dfc439fe322d58 |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe480d59c8190962ac596a872b5e0 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.