Triple
T14061916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesügei |
E338366
|
entity |
| Predicate | fatherOf |
P120
|
FINISHED |
| Object | Temüjin |
E355742
|
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: Temüjin | Statement: [Yesügei, fatherOf, Temüjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temüjin Context triple: [Yesügei, fatherOf, Temüjin]
-
A.
Temüjin
chosen
Temüjin is the birth name of Genghis Khan, the founder and first Great Khan of the Mongol Empire.
-
B.
Huzhu Monguor
Huzhu Monguor is a major dialect of the Monguor (Tu) language spoken primarily in Huzhu County of Qinghai Province, China.
-
C.
Ugedei Khan
Ugedei Khan was the third son of Genghis Khan and the second Great Khan of the Mongol Empire, under whose rule the empire reached its greatest territorial extent in Eurasia.
-
D.
Yesün Temür
Yesün Temür was a 14th-century Mongol ruler who served as Great Khan of the Mongol Empire and emperor of the Yuan dynasty in China.
-
E.
Chingis
Chingis is a mysterious Mongolian schoolboy whose arrival in a Liverpool classroom drives the narrative and emotional core of Frank Cottrell Boyce’s novel "The Unforgotten Coat."
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e72b9f08190a33e8e20541edd21 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.