Triple
T12705973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodnight Mister Tom |
E303585
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Mrs Beech
Mrs Beech is the cruel, abusive mother of William Beech in the novel "Goodnight Mister Tom," whose harsh treatment of her son contrasts sharply with the kindness he later receives.
|
E997335
|
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: Mrs Beech | Statement: [Goodnight Mister Tom, hasCharacter, Mrs Beech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs Beech Context triple: [Goodnight Mister Tom, hasCharacter, Mrs Beech]
-
A.
Wyrley Birch
Wyrley Birch was a British actor known for his character roles in early 20th-century stage and film productions.
-
B.
Crabtree
Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
-
C.
Felicity Tree
Felicity Tree was a British actress and socialite of the early 20th century, known for her stage work and prominent role in London society.
-
D.
Hollybush
Hollybush is a small village located in the Sirhowy Valley in south Wales.
-
E.
Twigg
Twigg is an English surname borne by various notable individuals, including politicians such as Derek Twigg.
- 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: Mrs Beech Triple: [Goodnight Mister Tom, hasCharacter, Mrs Beech]
Generated description
Mrs Beech is the cruel, abusive mother of William Beech in the novel "Goodnight Mister Tom," whose harsh treatment of her son contrasts sharply with the kindness he later receives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrs Beech Target entity description: Mrs Beech is the cruel, abusive mother of William Beech in the novel "Goodnight Mister Tom," whose harsh treatment of her son contrasts sharply with the kindness he later receives.
-
A.
Wyrley Birch
Wyrley Birch was a British actor known for his character roles in early 20th-century stage and film productions.
-
B.
Crabtree
Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
-
C.
Felicity Tree
Felicity Tree was a British actress and socialite of the early 20th century, known for her stage work and prominent role in London society.
-
D.
Hollybush
Hollybush is a small village located in the Sirhowy Valley in south Wales.
-
E.
Twigg
Twigg is an English surname borne by various notable individuals, including politicians such as Derek Twigg.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f1adec8190a53c80e9556b3fe0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b4832c8190abc17f5f33b3552a |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:23 p.m.