Triple
T10396477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humans |
E245033
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Ruth Bradley
Ruth Bradley is an Irish actress known for her roles in television series such as "Humans" and "Primeval," as well as various film and stage productions.
|
E949502
|
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: Ruth Bradley | Statement: [Humans, stars, Ruth Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Bradley Context triple: [Humans, stars, Ruth Bradley]
-
A.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
B.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
C.
Ruth McCord
Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
-
D.
Ruth Jamison
Ruth Jamison is a central, compassionate character in the novel and film "Fried Green Tomatoes," known for her deep friendship with Idgie Threadgoode and her role in the story’s themes of love, resilience, and female solidarity.
-
E.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
- 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: Ruth Bradley Triple: [Humans, stars, Ruth Bradley]
Generated description
Ruth Bradley is an Irish actress known for her roles in television series such as "Humans" and "Primeval," as well as various film and stage productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruth Bradley Target entity description: Ruth Bradley is an Irish actress known for her roles in television series such as "Humans" and "Primeval," as well as various film and stage productions.
-
A.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
B.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
C.
Ruth McCord
Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
-
D.
Ruth Jamison
Ruth Jamison is a central, compassionate character in the novel and film "Fried Green Tomatoes," known for her deep friendship with Idgie Threadgoode and her role in the story’s themes of love, resilience, and female solidarity.
-
E.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1658e03a8819098ea2ac2f818a61a |
completed | April 29, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 6, 2026, 12:06 p.m.