Triple
T18600667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War Room |
E454610
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
R. J. Cutler
R. J. Cutler is an American filmmaker and producer best known for his political documentaries and nonfiction storytelling in film and television.
|
E1336580
|
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: R. J. Cutler | Statement: [The War Room, cinematographyBy, R. J. Cutler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. J. Cutler Context triple: [The War Room, cinematographyBy, R. J. Cutler]
-
A.
Jeff Cutter
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
B.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
-
C.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
-
D.
Michael Cutter
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
-
E.
Robert Barry Cutler
Robert Barry Cutler was a 19th-century Canadian lawyer and politician who served as a Member of Parliament representing New Brunswick.
- 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: R. J. Cutler Triple: [The War Room, cinematographyBy, R. J. Cutler]
Generated description
R. J. Cutler is an American filmmaker and producer best known for his political documentaries and nonfiction storytelling in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R. J. Cutler Target entity description: R. J. Cutler is an American filmmaker and producer best known for his political documentaries and nonfiction storytelling in film and television.
-
A.
Jeff Cutter
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
B.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
-
C.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
-
D.
Michael Cutter
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
-
E.
Robert Barry Cutler
Robert Barry Cutler was a 19th-century Canadian lawyer and politician who served as a Member of Parliament representing New Brunswick.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05170f76188190912e8f79bd110b09 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05192a654481908235ea8e16150c9b |
completed | May 14, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05199a9abc8190baba3e1ba422fd03 |
completed | May 14, 2026, 12:38 a.m. |
Created at: April 10, 2026, 11:45 a.m.