Triple
T18073468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Dakotas |
E432491
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Fay Roope
Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
|
E1392075
|
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: Fay Roope | Statement: [The Black Dakotas, starring, Fay Roope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Roope Context triple: [The Black Dakotas, starring, Fay Roope]
-
A.
Marjorie Boulton
Marjorie Boulton was a British writer, educator, and prominent Esperantist best known for her influential works of Esperanto poetry, prose, and literary criticism.
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
D.
Barbara Clough
Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
-
E.
Frances Wetherall
Frances Wetherall is best known as the wife of British actor and producer John Loder.
- 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: Fay Roope Triple: [The Black Dakotas, starring, Fay Roope]
Generated description
Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fay Roope Target entity description: Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
-
A.
Marjorie Boulton
Marjorie Boulton was a British writer, educator, and prominent Esperantist best known for her influential works of Esperanto poetry, prose, and literary criticism.
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
D.
Barbara Clough
Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
-
E.
Frances Wetherall
Frances Wetherall is best known as the wife of British actor and producer John Loder.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccefcdc4819086d0b224731bfc4d |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4d35f088190875264a509504dc7 |
completed | May 16, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_6a07b5fa3d348190b8c7adb42097b40a |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6644d108190b21ac258ffcfba61 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 10:26 a.m.