Triple
T17498292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biddy Mason |
E426126
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Bridget Mason
Bridget "Biddy" Mason was a formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in 19th-century Los Angeles.
|
E1357272
|
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: Bridget Mason | Statement: [Biddy Mason, birthName, Bridget Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridget Mason Context triple: [Biddy Mason, birthName, Bridget Mason]
-
A.
Bridget Mason
Bridget Mason is a woman known primarily as the daughter of Sir Joseph Mason.
-
B.
Bridget Dryden
Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
-
C.
Bridget Sloan
Bridget Sloan is an American artistic gymnast, Olympic silver medalist, and NCAA all-around champion who starred for the University of Florida Gators.
-
D.
Bridget Johnson
Bridget Johnson is a film producer best known for her work on the acclaimed romantic comedy-drama "As Good as It Gets."
-
E.
Bridget Bendish
Bridget Bendish was the politically active granddaughter of Oliver Cromwell and daughter of Henry Ireton, known for her strong royalist sympathies after the English Civil War.
- 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: Bridget Mason Triple: [Biddy Mason, birthName, Bridget Mason]
Generated description
Bridget "Biddy" Mason was a formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in 19th-century Los Angeles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bridget Mason Target entity description: Bridget "Biddy" Mason was a formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in 19th-century Los Angeles.
-
A.
Bridget Mason
Bridget Mason is a woman known primarily as the daughter of Sir Joseph Mason.
-
B.
Bridget Dryden
Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
-
C.
Bridget Sloan
Bridget Sloan is an American artistic gymnast, Olympic silver medalist, and NCAA all-around champion who starred for the University of Florida Gators.
-
D.
Bridget Johnson
Bridget Johnson is a film producer best known for her work on the acclaimed romantic comedy-drama "As Good as It Gets."
-
E.
Bridget Bendish
Bridget Bendish was the politically active granddaughter of Oliver Cromwell and daughter of Henry Ireton, known for her strong royalist sympathies after the English Civil War.
- 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_6a05d32f1ee88190b0a215dc78024d62 |
completed | May 14, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a05d56219508190baead365509166a3 |
completed | May 14, 2026, 2 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d6537b9c8190918a56b74c675f7e |
completed | May 14, 2026, 2:04 p.m. |
Created at: April 10, 2026, 5:48 a.m.