Triple
T18458632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesün Temür |
E450970
|
entity |
| Predicate | issue |
P2239
|
FINISHED |
| Object | Ragibagh Khan |
—
|
NE NERFINISHED |
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: Ragibagh Khan | Statement: [Yesün Temür, issue, Ragibagh Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ragibagh Khan Context triple: [Yesün Temür, issue, Ragibagh Khan]
-
A.
Ragibagh Khan
chosen
Ragibagh Khan was a short-reigned Yuan dynasty claimant to the Mongol imperial throne whose rule was contested and quickly supplanted during early 14th-century succession struggles.
-
B.
Yunus Khan
Yunus Khan was a 15th-century Moghul khan of Moghulistan and the maternal grandfather of the Mughal emperor Babur.
-
C.
Najaf Ali Khan
Najaf Ali Khan was a prominent historical figure whose legacy is reflected in the naming of the Najafi dynasty.
-
D.
Khudayar Khan
Khudayar Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his turbulent reign marked by internal strife and increasing Russian influence in the region.
-
E.
Yusuf Khan
Yusuf Khan is a supporting character in Marvel's Ms. Marvel series, known as the caring and traditional father of teenage superhero Kamala Khan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:31 a.m.