Triple
T3970918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applause |
E92332
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Beth Brown
Beth Brown is a screenwriter known for her work on the film "Applause."
|
E443618
|
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: Beth Brown | Statement: [Applause, screenwriter, Beth Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Brown Context triple: [Applause, screenwriter, Beth Brown]
-
A.
Rachel Brown
Rachel Brown is a central fictional character in the play "Inherit the Wind," portrayed as a conflicted young schoolteacher torn between her religious upbringing and her sympathy for the accused teacher in the evolution trial.
-
B.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
-
C.
Gail Brown
Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
-
D.
Lorraine Baines
Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
-
E.
Laura Brown
Laura Brown is a central character in Michael Cunningham’s novel and its film adaptation "The Hours," depicted as a 1950s housewife struggling with depression and the constraints of domestic life.
- 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: Beth Brown Triple: [Applause, screenwriter, Beth Brown]
Generated description
Beth Brown is a screenwriter known for her work on the film "Applause."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Brown Target entity description: Beth Brown is a screenwriter known for her work on the film "Applause."
-
A.
Rachel Brown
Rachel Brown is a central fictional character in the play "Inherit the Wind," portrayed as a conflicted young schoolteacher torn between her religious upbringing and her sympathy for the accused teacher in the evolution trial.
-
B.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
-
C.
Gail Brown
Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
-
D.
Lorraine Baines
Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
-
E.
Laura Brown
Laura Brown is a central character in Michael Cunningham’s novel and its film adaptation "The Hours," depicted as a 1950s housewife struggling with depression and the constraints of domestic life.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef995d27881908b24a5b2ef57455f |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6371762c08190ab0b829777e62540 |
completed | March 15, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_69b639659cb88190b1023e00d24d964a |
completed | March 15, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b63a020cc48190a28e6bd0b3a7c5c1 |
completed | March 15, 2026, 4:48 a.m. |
Created at: March 9, 2026, 3:32 p.m.