Triple
T6108448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borjigin |
E136172
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Yesügei |
E338366
|
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: Yesügei | Statement: [Borjigin, hasNotableMember, Yesügei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yesügei Context triple: [Borjigin, hasNotableMember, Yesügei]
-
A.
Yesügei
chosen
Yesügei was a 12th-century Mongol chieftain of the Borjigin clan and the father of Genghis Khan.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Egvekinot
Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
-
D.
Yesenin
Yesenin is a renowned Russian lyric poet known for his evocative depictions of rural life and his tragic, short-lived career in the early 20th century.
-
E.
Gyes
Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b835ed48190971c3ba397ca329f |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255f03e08190b62cd8ca2c079afb |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.