Triple
T1105186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accused |
E25472
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
|
E255298
|
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: Jonathan Kaplan | Statement: [The Accused, director, Jonathan Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Kaplan Context triple: [The Accused, director, Jonathan Kaplan]
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
C.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
-
D.
Nathaniel Kahn
Nathaniel Kahn is an American filmmaker best known for his documentary "My Architect," which explores the life and legacy of his father, renowned architect Louis Kahn.
-
E.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
- 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: Jonathan Kaplan Triple: [The Accused, director, Jonathan Kaplan]
Generated description
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Kaplan Target entity description: Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
C.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
-
D.
Nathaniel Kahn
Nathaniel Kahn is an American filmmaker best known for his documentary "My Architect," which explores the life and legacy of his father, renowned architect Louis Kahn.
-
E.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae891551c8819090f6edd70c45ff39 |
completed | March 9, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69ae8a4a55c4819082b10a5995395e46 |
completed | March 9, 2026, 8:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8ae561c081908f64fb7ca43d928e |
completed | March 9, 2026, 8:55 a.m. |
Created at: March 1, 2026, 7:43 p.m.