Triple
T14061954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoelun |
E338367
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Temujin |
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: Temujin | Statement: [Hoelun, child, Temujin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temujin Context triple: [Hoelun, child, Temujin]
-
A.
Genghis Khan
Genghis Khan was the founder and first Great Khan of the Mongol Empire, which became the largest contiguous land empire in history through his military conquests and unification of the Mongol tribes.
-
B.
Güyük Khan
Güyük Khan was the third Great Khan of the Mongol Empire, ruling briefly in the 1240s and known for consolidating Mongol authority while facing internal dynastic tensions.
-
C.
Temüjin
chosen
Temüjin is the birth name of Genghis Khan, the founder and first Great Khan of the Mongol Empire.
-
D.
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."
-
E.
Külüg Khan
Külüg Khan was a Mongol emperor of the Yuan dynasty in China, known for his brief and financially troubled reign in the early 14th century.
- 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_69fe8bbd051c8190a89f9801a7b08b2d |
completed | May 9, 2026, 1:19 a.m. |
Created at: April 9, 2026, 10:21 p.m.