Triple
T10737282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keeping Mum |
E253225
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Toby Parkes
Toby Parkes is an actor known for his role in the British dark comedy film "Keeping Mum."
|
E883675
|
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: Toby Parkes | Statement: [Keeping Mum, starring, Toby Parkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Parkes Context triple: [Keeping Mum, starring, Toby Parkes]
-
A.
Toby Rowland
Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
-
B.
Toby Stephens
Toby Stephens is a British actor known for his versatile film, television, and stage roles, including performances in productions such as the James Bond film "Die Another Day" and the TV series "Black Sails."
-
C.
Toby Wright
Toby Wright is an American record producer and engineer best known for his work on influential rock and metal albums, including projects with Alice in Chains.
-
D.
Toby Carvery
Toby Carvery is a British pub-restaurant chain known for its traditional roast dinners and carvery-style service.
-
E.
Toby Irvine
Toby Irvine is a British actor known for playing the younger version of the main character, Pip, in the 2012 film adaptation of "Great Expectations."
- 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: Toby Parkes Triple: [Keeping Mum, starring, Toby Parkes]
Generated description
Toby Parkes is an actor known for his role in the British dark comedy film "Keeping Mum."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toby Parkes Target entity description: Toby Parkes is an actor known for his role in the British dark comedy film "Keeping Mum."
-
A.
Toby Rowland
Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
-
B.
Toby Stephens
Toby Stephens is a British actor known for his versatile film, television, and stage roles, including performances in productions such as the James Bond film "Die Another Day" and the TV series "Black Sails."
-
C.
Toby Wright
Toby Wright is an American record producer and engineer best known for his work on influential rock and metal albums, including projects with Alice in Chains.
-
D.
Toby Carvery
Toby Carvery is a British pub-restaurant chain known for its traditional roast dinners and carvery-style service.
-
E.
Toby Irvine
Toby Irvine is a British actor known for playing the younger version of the main character, Pip, in the 2012 film adaptation of "Great Expectations."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.