Triple
T17498325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biddy Mason |
E426126
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Ellen Mason
Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
|
E1288880
|
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: Ellen Mason | Statement: [Biddy Mason, child, Ellen Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Mason Context triple: [Biddy Mason, child, Ellen Mason]
-
A.
Ellen Benson
Ellen Benson is the protagonist of the work titled "Suddenly."
-
B.
Ellen Mitchell
Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
-
C.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
-
D.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
-
E.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
- 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: Ellen Mason Triple: [Biddy Mason, child, Ellen Mason]
Generated description
Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Mason Target entity description: Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
-
A.
Ellen Benson
Ellen Benson is the protagonist of the work titled "Suddenly."
-
B.
Ellen Mitchell
Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
-
C.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
-
D.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
-
E.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff48dc808190aa571c2573e0a921 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a02fffa54ac8190a3bf90c827e56329 |
completed | May 12, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03009e9ff48190a0762d4d537f4cc7 |
completed | May 12, 2026, 10:27 a.m. |
Created at: April 10, 2026, 5:48 a.m.