Triple
T14366768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentyn Martell |
E356253
|
entity |
| Predicate | killedBy |
P4646
|
FINISHED |
| Object | Viserion |
E864457
|
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: Viserion | Statement: [Quentyn Martell, killedBy, Viserion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viserion Context triple: [Quentyn Martell, killedBy, Viserion]
-
A.
Viserion
chosen
Viserion is one of Daenerys Targaryen’s three dragons in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series, known for his cream-and-gold coloring and devastating fire.
-
B.
Arys
Arys is a town in southern Kazakhstan known as a key railway junction and transport hub in the region.
-
C.
Arys
Arys is the former German name of the town now known as Orzysz, located in northeastern Poland.
-
D.
Thoros of Myr
Thoros of Myr is a red priest of R'hllor and a hard-drinking warrior known for his fiery sword and role in the Brotherhood Without Banners in George R. R. Martin's A Song of Ice and Fire series.
-
E.
Baelor
"Baelor" is a pivotal and emotionally devastating episode of Game of Thrones’ first season, best known for its shocking execution of a major character and the dramatic turning point it creates in the series.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.