Triple
T16066552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omer |
E389746
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Umar |
E800478
|
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: Umar | Statement: [Omer, hasVariant, Umar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umar Context triple: [Omer, hasVariant, Umar]
-
A.
Umar
chosen
Umar is a powerful extra-dimensional sorcerer and recurring antagonist in Marvel Comics, often associated with the Dark Dimension and the character Clea.
-
B.
Umar ibn Abi Salama
Umar ibn Abi Salama was a young Companion of the Prophet Muhammad and the stepson of the Prophet through his mother, Umm Salama.
-
C.
Umar ibn al-Khattab
Umar ibn al-Khattab was the second caliph of Islam and a close companion of the Prophet Muhammad, renowned for his just governance and major role in the early expansion of the Muslim state.
-
D.
Umar ibn Saʿd
Umar ibn Saʿd was an Umayyad military leader best known for leading the forces that killed Husayn ibn Ali at the Battle of Karbala in 680 CE.
-
E.
Abu Umar
Abu Umar is the honorific kunya of the renowned Andalusian Maliki scholar and hadith expert Ibn Abd al-Barr.
- 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.