Triple
T14781146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle at the Wall |
E347390
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Styr |
E1119050
|
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: Styr | Statement: [Battle at the Wall, featuresCharacter, Styr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Styr Context triple: [Battle at the Wall, featuresCharacter, Styr]
-
A.
Styr
chosen
Styr is the Magnar of Thenn, a fierce wildling leader who commands the Thenn warriors during the assault on the Wall in the Game of Thrones universe.
-
B.
Styr
Styr is a river in Eastern Europe that flows through Ukraine and Belarus as a tributary of the Pripyat River.
-
C.
Styra
Styra is a coastal town on the island of Euboea in Greece, known for its proximity to the South Euboean Gulf and its scenic seaside setting.
-
D.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
-
E.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.