Triple
T1225788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glitter |
E26323
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Max Beesley
Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
|
E213654
|
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: Max Beesley | Statement: [Glitter, starring, Max Beesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Beesley Context triple: [Glitter, starring, Max Beesley]
-
A.
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.
-
B.
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.
-
C.
Dean-Charles Chapman
Dean-Charles Chapman is an English actor best known for his roles in the war film "1917" and the television series "Game of Thrones."
-
D.
David Blunt
David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
-
E.
Eddie Constantine
Eddie Constantine was an American-born French singer and actor best known for his tough-guy roles in European cinema, particularly as secret agent Lemmy Caution.
- 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: Max Beesley Triple: [Glitter, starring, Max Beesley]
Generated description
Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Beesley Target entity description: Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
-
A.
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.
-
B.
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.
-
C.
Dean-Charles Chapman
Dean-Charles Chapman is an English actor best known for his roles in the war film "1917" and the television series "Game of Thrones."
-
D.
David Blunt
David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
-
E.
Eddie Constantine
Eddie Constantine was an American-born French singer and actor best known for his tough-guy roles in European cinema, particularly as secret agent Lemmy Caution.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab57c8c81908b1dbdaf7ba4b29b |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeccddc788190be7ddb822f1b5d67 |
completed | March 8, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aded53100081909239afdc676e45ab |
completed | March 8, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:47 p.m.