Triple
T10845459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Silence |
E255997
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Sarah Abbott
Sarah Abbott is an actress known for her role in the horror film "The Silence."
|
E915795
|
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: Sarah Abbott | Statement: [The Silence, starring, Sarah Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Abbott Context triple: [The Silence, starring, Sarah Abbott]
-
A.
Kate Abbot-Anderson
Kate Abbot-Anderson is a British woman best known as the former wife of comedian and actor Hugh Dennis.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Sarah Snodgrass
Sarah Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass, though specific widely known public details about her are not clearly established.
-
D.
Sarah Hoadly
Sarah Hoadly was an English portrait painter of the early 18th century, known for her refined style and connections to prominent artistic circles in London.
-
E.
Betsy Blair
Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
- 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: Sarah Abbott Triple: [The Silence, starring, Sarah Abbott]
Generated description
Sarah Abbott is an actress known for her role in the horror film "The Silence."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Abbott Target entity description: Sarah Abbott is an actress known for her role in the horror film "The Silence."
-
A.
Kate Abbot-Anderson
Kate Abbot-Anderson is a British woman best known as the former wife of comedian and actor Hugh Dennis.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Sarah Snodgrass
Sarah Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass, though specific widely known public details about her are not clearly established.
-
D.
Sarah Hoadly
Sarah Hoadly was an English portrait painter of the early 18th century, known for her refined style and connections to prominent artistic circles in London.
-
E.
Betsy Blair
Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f34d1e108190ad281dae6c92634e |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:19 p.m.