Triple
T8448136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And Then There Were None |
E199730
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ethel Rogers
Ethel Rogers is a nervous, subservient housekeeper and one of the accused guests in Agatha Christie's mystery novel "And Then There Were None."
|
E860205
|
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: Ethel Rogers | Statement: [And Then There Were None, hasCharacter, Ethel Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethel Rogers Context triple: [And Then There Were None, hasCharacter, Ethel Rogers]
-
A.
Ethel Fogg Anderson
Ethel Fogg Anderson was the mother of acclaimed American actor Montgomery Clift.
-
B.
Ethel Gross
Ethel Gross was the first wife of Harry Hopkins, a key advisor to U.S. President Franklin D. Roosevelt.
-
C.
Ethel Parker
Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
-
D.
Florence Ryerson
Florence Ryerson was an American screenwriter best known for co-writing the screenplay for the classic 1939 film adaptation of "The Wizard of Oz."
-
E.
Marjorie Frost
Marjorie Frost was one of the daughters of American poet Robert Frost, whose short life was marked by illness and personal tragedy within the Frost family.
- 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: Ethel Rogers Triple: [And Then There Were None, hasCharacter, Ethel Rogers]
Generated description
Ethel Rogers is a nervous, subservient housekeeper and one of the accused guests in Agatha Christie's mystery novel "And Then There Were None."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ethel Rogers Target entity description: Ethel Rogers is a nervous, subservient housekeeper and one of the accused guests in Agatha Christie's mystery novel "And Then There Were None."
-
A.
Ethel Fogg Anderson
Ethel Fogg Anderson was the mother of acclaimed American actor Montgomery Clift.
-
B.
Ethel Gross
Ethel Gross was the first wife of Harry Hopkins, a key advisor to U.S. President Franklin D. Roosevelt.
-
C.
Ethel Parker
Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
-
D.
Florence Ryerson
Florence Ryerson was an American screenwriter best known for co-writing the screenplay for the classic 1939 film adaptation of "The Wizard of Oz."
-
E.
Marjorie Frost
Marjorie Frost was one of the daughters of American poet Robert Frost, whose short life was marked by illness and personal tragedy within the Frost family.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44480ec8190b32443a53cd4f943 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7941d893c81909f3b3bcf827e796d |
completed | April 9, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_69d7998acbf881909b6f063c4bf2d0a6 |
completed | April 9, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79aa0cc5481908bc14cda8fb6e8b1 |
completed | April 9, 2026, 12:25 p.m. |
Created at: March 30, 2026, 6:09 p.m.