Triple
T5317673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dixon of Dock Green |
E121590
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mary Dixon
Mary Dixon is a fictional character from the long-running British television police drama "Dixon of Dock Green."
|
E524822
|
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: Mary Dixon | Statement: [Dixon of Dock Green, character, Mary Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Dixon Context triple: [Dixon of Dock Green, character, Mary Dixon]
-
A.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
B.
Mary Meredith
Mary Meredith is a fictional character from the 1858 comedic play "Our American Cousin," which is best known as the play being performed at Ford's Theatre when President Abraham Lincoln was assassinated.
-
C.
Mary Bingham
Mary Bingham is a notable member of the prominent Bingham family, recognized for her association with this influential lineage.
-
D.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
E.
Mary Carr
Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
- 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: Mary Dixon Triple: [Dixon of Dock Green, character, Mary Dixon]
Generated description
Mary Dixon is a fictional character from the long-running British television police drama "Dixon of Dock Green."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Dixon Target entity description: Mary Dixon is a fictional character from the long-running British television police drama "Dixon of Dock Green."
-
A.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
B.
Mary Meredith
Mary Meredith is a fictional character from the 1858 comedic play "Our American Cousin," which is best known as the play being performed at Ford's Theatre when President Abraham Lincoln was assassinated.
-
C.
Mary Bingham
Mary Bingham is a notable member of the prominent Bingham family, recognized for her association with this influential lineage.
-
D.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
E.
Mary Carr
Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855269ac8190bb7a9248d04f1823 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf7fd0a2c48190ba0c2e3259c3691f |
completed | March 22, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69bf80e2f34081909bcc695e1b91e3ef |
completed | March 22, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf813985d881908801f1eee573c220 |
completed | March 22, 2026, 5:42 a.m. |
Created at: March 20, 2026, 1:59 p.m.