Triple
T14615182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buyantu Khan |
E343065
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Darmabala |
E585137
|
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: Darmabala | Statement: [Buyantu Khan, father, Darmabala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darmabala Context triple: [Buyantu Khan, father, Darmabala]
-
A.
Darmabala
chosen
Darmabala was a Mongol prince of the Yuan dynasty, known as a grandson of Kublai Khan and a member of the imperial Borjigin lineage.
-
B.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
C.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
-
D.
Labhanya
Labhanya is the intelligent, introspective female protagonist of Rabindranath Tagore’s novel "Shesher Kobita," central to its exploration of love, individuality, and modern relationships.
-
E.
Vasusena
Vasusena is the original birth name of Karna, a central warrior figure in the Indian epic Mahabharata.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda922f29c8190af98a8241d86f7cd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.