Triple
T14834320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qyburn |
E348787
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Ser Robert Strong
Ser Robert Strong is the silent, hulking Kingsguard knight in "A Song of Ice and Fire," widely believed to be the reanimated corpse of Gregor Clegane, created through Qyburn’s dark experiments.
|
E1122106
|
NE FINISHED |
How this triple was built (4 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: Ser Robert Strong | Statement: [Qyburn, associatedWith, Ser Robert Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ser Robert Strong Context triple: [Qyburn, associatedWith, Ser Robert Strong]
-
A.
Richard Strong
Richard Strong is a landscape architect known for his work on the design of Toronto’s prominent civic plaza, Nathan Phillips Square.
-
B.
Ed Strong
Ed Strong is a theatrical producer best known for his work on the hit jukebox musical "Jersey Boys."
-
C.
Grant Strong
Grant Strong is an individual notable enough to be recognized as a bearer of the Strong surname.
-
D.
Andrew Stroud
Andrew Stroud was a New York City police detective and later the manager and husband of legendary singer and pianist Nina Simone.
-
E.
Ray Steele
Ray Steele is a fictional character in the "Fifty Shades" series, known as the loving adoptive father of protagonist Anastasia Steele.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ser Robert Strong Triple: [Qyburn, associatedWith, Ser Robert Strong]
Generated description
Ser Robert Strong is the silent, hulking Kingsguard knight in "A Song of Ice and Fire," widely believed to be the reanimated corpse of Gregor Clegane, created through Qyburn’s dark experiments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ser Robert Strong Target entity description: Ser Robert Strong is the silent, hulking Kingsguard knight in "A Song of Ice and Fire," widely believed to be the reanimated corpse of Gregor Clegane, created through Qyburn’s dark experiments.
-
A.
Richard Strong
Richard Strong is a landscape architect known for his work on the design of Toronto’s prominent civic plaza, Nathan Phillips Square.
-
B.
Ed Strong
Ed Strong is a theatrical producer best known for his work on the hit jukebox musical "Jersey Boys."
-
C.
Grant Strong
Grant Strong is an individual notable enough to be recognized as a bearer of the Strong surname.
-
D.
Andrew Stroud
Andrew Stroud was a New York City police detective and later the manager and husband of legendary singer and pianist Nina Simone.
-
E.
Ray Steele
Ray Steele is a fictional character in the "Fifty Shades" series, known as the loving adoptive father of protagonist Anastasia Steele.
- F. None of above. chosen
Provenance (5 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a5d8888190821988ad00351d05 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3c99aae48190be6a4bd5914217f3 |
completed | May 8, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3d0122bc8190baa8c694ade8cc26 |
completed | May 8, 2026, 7:44 p.m. |
Created at: April 10, 2026, 1:52 a.m.