Triple
T10422568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peregrine White |
E245693
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sarah Bassett
Sarah Bassett was the wife of Peregrine White, the first English child born to the Pilgrims in New England, and a member of early colonial New England society.
|
E922526
|
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 Bassett | Statement: [Peregrine White, spouse, Sarah Bassett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Bassett Context triple: [Peregrine White, spouse, Sarah Bassett]
-
A.
Sarah Brasfield
Sarah Brasfield is known as the stepchild of American politician and former Nevada governor Jack Carter.
-
B.
Jennifer Sorrell
Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
-
C.
Mary LaRoche
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
-
D.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
E.
Diane Bemus
Diane Bemus is an individual whose birth name is Diane Bemus and who is also known as Diane Bemus Patrick.
- 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 Bassett Triple: [Peregrine White, spouse, Sarah Bassett]
Generated description
Sarah Bassett was the wife of Peregrine White, the first English child born to the Pilgrims in New England, and a member of early colonial New England society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Bassett Target entity description: Sarah Bassett was the wife of Peregrine White, the first English child born to the Pilgrims in New England, and a member of early colonial New England society.
-
A.
Sarah Brasfield
Sarah Brasfield is known as the stepchild of American politician and former Nevada governor Jack Carter.
-
B.
Jennifer Sorrell
Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
-
C.
Mary LaRoche
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
-
D.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
E.
Diane Bemus
Diane Bemus is an individual whose birth name is Diane Bemus and who is also known as Diane Bemus Patrick.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2cd0788190b904ccdc251a9b7a |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a50d0748190a429af33cdced80a |
completed | April 20, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 6, 2026, 12:12 p.m.