Triple
T12010070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craster's Keep (after mutiny) |
E285882
|
entity |
| Predicate | controlledBy |
P1715
|
FINISHED |
| Object |
Karl Tanner
Karl Tanner is a former member of the Night's Watch in Game of Thrones who leads a brutal mutiny and briefly rules Craster's Keep.
|
E977509
|
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: Karl Tanner | Statement: [Craster's Keep (after mutiny), controlledBy, Karl Tanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Tanner Context triple: [Craster's Keep (after mutiny), controlledBy, Karl Tanner]
-
A.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
B.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
C.
Kenneth Nelson
Kenneth Nelson was an American actor best known for originating the lead role in the groundbreaking gay-themed play and film "The Boys in the Band."
-
D.
K. T. McFarland
K. T. McFarland is an American foreign policy analyst and former government official who served in senior national security roles, including in the Trump administration.
-
E.
Karl Dane
Karl Dane was a Danish-American silent film actor best known for his comic roles in 1920s Hollywood, particularly as part of the popular screen duo "Dane & Arthur."
- 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: Karl Tanner Triple: [Craster's Keep (after mutiny), controlledBy, Karl Tanner]
Generated description
Karl Tanner is a former member of the Night's Watch in Game of Thrones who leads a brutal mutiny and briefly rules Craster's Keep.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl Tanner Target entity description: Karl Tanner is a former member of the Night's Watch in Game of Thrones who leads a brutal mutiny and briefly rules Craster's Keep.
-
A.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
B.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
C.
Kenneth Nelson
Kenneth Nelson was an American actor best known for originating the lead role in the groundbreaking gay-themed play and film "The Boys in the Band."
-
D.
K. T. McFarland
K. T. McFarland is an American foreign policy analyst and former government official who served in senior national security roles, including in the Trump administration.
-
E.
Karl Dane
Karl Dane was a Danish-American silent film actor best known for his comic roles in 1920s Hollywood, particularly as part of the popular screen duo "Dane & Arthur."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a784b3c81909a2841f3d6b4c475 |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62ca73c04819084a1e47a963c1106 |
completed | May 2, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:46 p.m.