Triple
T3277799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George R. R. Martin |
E68797
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gale Burnick
Gale Burnick is the former wife of fantasy author George R. R. Martin, known primarily for her brief marriage to him in the 1970s.
|
E345448
|
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: Gale Burnick | Statement: [George R. R. Martin, spouse, Gale Burnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gale Burnick Context triple: [George R. R. Martin, spouse, Gale Burnick]
-
A.
Dana Glauberman
Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
-
B.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
C.
Lori M. Stone
Lori M. Stone is an American politician who serves as the mayor of Warren, Michigan, after previously representing the area in the Michigan House of Representatives.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
- 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: Gale Burnick Triple: [George R. R. Martin, spouse, Gale Burnick]
Generated description
Gale Burnick is the former wife of fantasy author George R. R. Martin, known primarily for her brief marriage to him in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gale Burnick Target entity description: Gale Burnick is the former wife of fantasy author George R. R. Martin, known primarily for her brief marriage to him in the 1970s.
-
A.
Dana Glauberman
Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
-
B.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
C.
Lori M. Stone
Lori M. Stone is an American politician who serves as the mayor of Warren, Michigan, after previously representing the area in the Michigan House of Representatives.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb013de048190bcaac732caa6b174 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e84a3c2c8190908152fc042fcad1 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e939460481909743b49e274b693e |
completed | March 12, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecfd3c20819089bc0b2141aee8eb |
completed | March 12, 2026, 4:42 p.m. |
Created at: March 8, 2026, 3:10 p.m.