Triple
T3810298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Osgood |
E93115
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Marston
Mary Marston was the wife of Samuel Osgood, an early American political figure and the first U.S. Postmaster General.
|
E390481
|
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 Marston | Statement: [Samuel Osgood, spouse, Mary Marston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Marston Context triple: [Samuel Osgood, spouse, Mary Marston]
-
A.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
B.
Jo Grant
Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
D.
Jennifer Walters
Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
-
E.
Sally Blane
Sally Blane was an American film actress of the early 20th century who appeared in numerous silent and sound films, often in supporting roles.
- 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 Marston Triple: [Samuel Osgood, spouse, Mary Marston]
Generated description
Mary Marston was the wife of Samuel Osgood, an early American political figure and the first U.S. Postmaster General.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Marston Target entity description: Mary Marston was the wife of Samuel Osgood, an early American political figure and the first U.S. Postmaster General.
-
A.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
B.
Jo Grant
Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
D.
Jennifer Walters
Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
-
E.
Sally Blane
Sally Blane was an American film actress of the early 20th century who appeared in numerous silent and sound films, often in supporting roles.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80e178081908cff71223bbf6c43 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb33db9c81908b462ee80aaaad34 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc08d65081908953482b10fa5611 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc7d8cf081909c4447818b5363c5 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:16 p.m.