Triple
T19806076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Patton Preston |
E475813
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Susanna Smith
Susanna Smith was the mother of James Patton Preston, who served as Governor of Virginia in the early 19th century.
|
E1407792
|
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: Susanna Smith | Statement: [James Patton Preston, mother, Susanna Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susanna Smith Context triple: [James Patton Preston, mother, Susanna Smith]
-
A.
Susanna Thompson
Susanna Thompson is an American actress known for her work in film and television, including prominent roles in series like "Arrow" and "Star Trek: Voyager."
-
B.
Susanna Wilson
Susanna Wilson is the daughter of Frances Perkins, the first female U.S. Secretary of Labor and a key architect of New Deal labor reforms.
-
C.
Susanna Nelson
Susanna Nelson was a daughter of Edmund Nelson, the Anglican clergyman best known as the father of Admiral Horatio Nelson.
-
D.
Suzanne Smith
Suzanne Smith is known as the spouse of Irish actor Dermot Crowley.
-
E.
Susannah Shipman
Susannah Shipman is a film producer best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
- 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: Susanna Smith Triple: [James Patton Preston, mother, Susanna Smith]
Generated description
Susanna Smith was the mother of James Patton Preston, who served as Governor of Virginia in the early 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susanna Smith Target entity description: Susanna Smith was the mother of James Patton Preston, who served as Governor of Virginia in the early 19th century.
-
A.
Susanna Thompson
Susanna Thompson is an American actress known for her work in film and television, including prominent roles in series like "Arrow" and "Star Trek: Voyager."
-
B.
Susanna Wilson
Susanna Wilson is the daughter of Frances Perkins, the first female U.S. Secretary of Labor and a key architect of New Deal labor reforms.
-
C.
Susanna Nelson
Susanna Nelson was a daughter of Edmund Nelson, the Anglican clergyman best known as the father of Admiral Horatio Nelson.
-
D.
Suzanne Smith
Suzanne Smith is known as the spouse of Irish actor Dermot Crowley.
-
E.
Susannah Shipman
Susannah Shipman is a film producer best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428081c8190b394c442f4c2a9a6 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e0f1b848190a2aecf484983f87e |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a08102c951081909300dd7709b2f6c8 |
completed | May 16, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810bfd5b88190b78e29677598b6bb |
completed | May 16, 2026, 6:37 a.m. |
Created at: April 10, 2026, 1:49 p.m.