Triple
T11991820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burn After Reading |
E285423
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Osborne Cox
Osborne Cox is a disgruntled, recently fired CIA analyst whose personal and professional unraveling drives much of the darkly comic chaos in the film "Burn After Reading."
|
E996152
|
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: Osborne Cox | Statement: [Burn After Reading, character, Osborne Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osborne Cox Context triple: [Burn After Reading, character, Osborne Cox]
-
A.
Osborne Colson
Osborne Colson was a prominent Canadian figure skating coach and former national champion known for mentoring several elite skaters.
-
B.
Williston Jones
Williston Jones was an American educator and religious leader best known as the founder of Coe College in Cedar Rapids, Iowa.
-
C.
Estey C. Graham
Estey C. Graham was the wife of influential value-investing pioneer Benjamin Graham.
-
D.
Henry E. Brady
Henry E. Brady is an American political scientist known for his influential work on political behavior, methodology, and democratic participation.
-
E.
Ellis W. Carter
Ellis W. Carter was a film cinematographer known for his work on the 1955 crime film "Shotgun" and other mid-20th-century motion pictures.
- 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: Osborne Cox Triple: [Burn After Reading, character, Osborne Cox]
Generated description
Osborne Cox is a disgruntled, recently fired CIA analyst whose personal and professional unraveling drives much of the darkly comic chaos in the film "Burn After Reading."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osborne Cox Target entity description: Osborne Cox is a disgruntled, recently fired CIA analyst whose personal and professional unraveling drives much of the darkly comic chaos in the film "Burn After Reading."
-
A.
Osborne Colson
Osborne Colson was a prominent Canadian figure skating coach and former national champion known for mentoring several elite skaters.
-
B.
Williston Jones
Williston Jones was an American educator and religious leader best known as the founder of Coe College in Cedar Rapids, Iowa.
-
C.
Estey C. Graham
Estey C. Graham was the wife of influential value-investing pioneer Benjamin Graham.
-
D.
Henry E. Brady
Henry E. Brady is an American political scientist known for his influential work on political behavior, methodology, and democratic participation.
-
E.
Ellis W. Carter
Ellis W. Carter was a film cinematographer known for his work on the 1955 crime film "Shotgun" and other mid-20th-century motion pictures.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66849ba888190a50c5a5fcdb935e0 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 8, 2026, 9:46 p.m.