Triple
T10323373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swimfan |
E242694
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Charles Bohl
Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
|
E955718
|
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: Charles Bohl | Statement: [Swimfan, screenwriter, Charles Bohl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Bohl Context triple: [Swimfan, screenwriter, Charles Bohl]
-
A.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
B.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
C.
Eugene Bremer
Eugene Bremer was an American Negro league pitcher best known for his standout performances in the 1930s and 1940s, particularly with the Cleveland Buckeyes.
-
D.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
-
E.
George Bruns
George Bruns was an American composer and arranger best known for his work on numerous Disney films and theme park attractions, including iconic scores for animated classics and rides.
- 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: Charles Bohl Triple: [Swimfan, screenwriter, Charles Bohl]
Generated description
Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charles Bohl Target entity description: Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
-
A.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
B.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
C.
Eugene Bremer
Eugene Bremer was an American Negro league pitcher best known for his standout performances in the 1930s and 1940s, particularly with the Cleveland Buckeyes.
-
D.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
-
E.
George Bruns
George Bruns was an American composer and arranger best known for his work on numerous Disney films and theme park attractions, including iconic scores for animated classics and rides.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4578899ac81908b6e3c8948ca6628 |
completed | May 1, 2026, 7:34 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 6, 2026, 11:50 a.m.