Triple
T428827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burn Gorman |
E9669
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sarah Beard
Sarah Beard is known as the wife of British-American actor and musician Burn Gorman.
|
E68519
|
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 Beard | Statement: [Burn Gorman, spouse, Sarah Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Beard Context triple: [Burn Gorman, spouse, Sarah Beard]
-
A.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
-
B.
Katherine Hudson
Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
-
C.
Elizabeth Eldridge
Elizabeth Eldridge was the wife of Salem Village minister Samuel Parris, associated with the period of the Salem witch trials in late 17th-century Massachusetts.
-
D.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
E.
Harriet Pitt
Harriet Pitt was an 18th-century British actress and the daughter of statesman William Pitt the Elder.
- 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 Beard Triple: [Burn Gorman, spouse, Sarah Beard]
Generated description
Sarah Beard is known as the wife of British-American actor and musician Burn Gorman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Beard Target entity description: Sarah Beard is known as the wife of British-American actor and musician Burn Gorman.
-
A.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
-
B.
Katherine Hudson
Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
-
C.
Elizabeth Eldridge
Elizabeth Eldridge was the wife of Salem Village minister Samuel Parris, associated with the period of the Salem witch trials in late 17th-century Massachusetts.
-
D.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
E.
Harriet Pitt
Harriet Pitt was an 18th-century British actress and the daughter of statesman William Pitt the Elder.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d03b948c8190b9b6f8e86c3249e8 |
completed | March 1, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69a4d106a1248190a06b340210767bc9 |
completed | March 1, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4de9182dc8190b62c2ea6d032e9bc |
completed | March 2, 2026, 12:49 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.