Triple
T10457793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daenerys Targaryen |
E246590
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Mhysa |
E69685
|
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: Mhysa | Statement: [Daenerys Targaryen, alias, Mhysa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mhysa Context triple: [Daenerys Targaryen, alias, Mhysa]
-
A.
Mhysa
chosen
"Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
-
B.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
-
C.
Morvi
Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
-
D.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
E.
Rook
Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.