Triple
T4872964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunus |
E109128
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Younis |
E476683
|
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: Younis | Statement: [Yunus, transliterationVariant, Younis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Younis Context triple: [Yunus, transliterationVariant, Younis]
-
A.
Younus
chosen
Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
-
B.
Hashim
Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
-
C.
Hasnat Khan
Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
-
D.
Hafeez
Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
-
E.
Tamim
Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9fa0b08190ab1fc7ec395dca37 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb5da2c8190aeec7d6d11b12b11 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.