Triple
T984795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like Crazy |
E21254
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Ben York Jones
Ben York Jones is an American screenwriter and actor best known for co-writing the acclaimed romantic drama film "Like Crazy."
|
E136719
|
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: Ben York Jones | Statement: [Like Crazy, writer, Ben York Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben York Jones Context triple: [Like Crazy, writer, Ben York Jones]
-
A.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
B.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Tim Laudner
Tim Laudner is a former Major League Baseball catcher best known for his years with the Minnesota Twins, including their 1987 World Series championship team.
-
E.
Jonathan Tucker
Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
- 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: Ben York Jones Triple: [Like Crazy, writer, Ben York Jones]
Generated description
Ben York Jones is an American screenwriter and actor best known for co-writing the acclaimed romantic drama film "Like Crazy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben York Jones Target entity description: Ben York Jones is an American screenwriter and actor best known for co-writing the acclaimed romantic drama film "Like Crazy."
-
A.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
B.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Tim Laudner
Tim Laudner is a former Major League Baseball catcher best known for his years with the Minnesota Twins, including their 1987 World Series championship team.
-
E.
Jonathan Tucker
Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac763582c48190bcf038162a1dea1c |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac770141a88190b71552d46fb4d2ad |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac777a7768819098b9d4dd771a6750 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:41 p.m.