Triple
T10466557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noises Off |
E246810
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Brooke Ashton
Brooke Ashton is a vain, somewhat dim-witted young actress and the onstage ingénue in Michael Frayn’s farce "Noises Off."
|
E866370
|
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: Brooke Ashton | Statement: [Noises Off, hasCharacter, Brooke Ashton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Ashton Context triple: [Noises Off, hasCharacter, Brooke Ashton]
-
A.
Brooke Hayward
Brooke Hayward is an American actress, author, and socialite best known for her memoir "Haywire" about her prominent Hollywood family.
-
B.
Brooke Baldwin
Brooke Baldwin is an American journalist and television news anchor best known for her longtime work with CNN, including hosting major live events and daytime news programs.
-
C.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
D.
Brooke Breton
Brooke Breton is a film producer known for her work on projects such as the psychological thriller "Insomnia" (2002).
-
E.
Brooke Hunter
Brooke Hunter is known as the wife of the late Canadian-American comedic actor Leslie Nielsen.
- 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: Brooke Ashton Triple: [Noises Off, hasCharacter, Brooke Ashton]
Generated description
Brooke Ashton is a vain, somewhat dim-witted young actress and the onstage ingénue in Michael Frayn’s farce "Noises Off."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brooke Ashton Target entity description: Brooke Ashton is a vain, somewhat dim-witted young actress and the onstage ingénue in Michael Frayn’s farce "Noises Off."
-
A.
Brooke Hayward
Brooke Hayward is an American actress, author, and socialite best known for her memoir "Haywire" about her prominent Hollywood family.
-
B.
Brooke Baldwin
Brooke Baldwin is an American journalist and television news anchor best known for her longtime work with CNN, including hosting major live events and daytime news programs.
-
C.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
D.
Brooke Breton
Brooke Breton is a film producer known for her work on projects such as the psychological thriller "Insomnia" (2002).
-
E.
Brooke Hunter
Brooke Hunter is known as the wife of the late Canadian-American comedic actor Leslie Nielsen.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_69d8a43ae8a48190b1c05b6a91dfed9a |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8b8fe1b9c8190b5a4787797ad7120 |
completed | April 10, 2026, 8:46 a.m. |
Created at: April 6, 2026, 12:19 p.m.