Triple
T984799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like Crazy |
E21254
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Charlie Bewley
Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
|
E198654
|
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: Charlie Bewley | Statement: [Like Crazy, starring, Charlie Bewley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Bewley Context triple: [Like Crazy, starring, Charlie Bewley]
-
A.
Graydon Hoare
Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
-
B.
Tim Bevan
Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
-
C.
Christopher Birt
Christopher Birt is an actor best known for his role in the popular 1992 romantic thriller film "The Bodyguard."
-
D.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
E.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
- 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: Charlie Bewley Triple: [Like Crazy, starring, Charlie Bewley]
Generated description
Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Bewley Target entity description: Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
-
A.
Graydon Hoare
Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
-
B.
Tim Bevan
Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
-
C.
Christopher Birt
Christopher Birt is an actor best known for his role in the popular 1992 romantic thriller film "The Bodyguard."
-
D.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
E.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
- 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_69ada9536bec8190acf50065863bd16a |
completed | March 8, 2026, 4:52 p.m. |
| NEDg | Description generation | batch_69adaab1fb6881908e0711ae1b69e2e5 |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adae9fdd3081908b1d9d7335cab1bd |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 1, 2026, 7:41 p.m.