Triple
T13336173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Baldwin |
E317697
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sally Ellicott
Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
|
E1168942
|
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: Sally Ellicott | Statement: [Henry Baldwin, spouse, Sally Ellicott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Ellicott Context triple: [Henry Baldwin, spouse, Sally Ellicott]
-
A.
Sally Elliott
Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
-
B.
Sally Rogers
Sally Rogers is a quick-witted comedy writer and one of the central ensemble characters on the classic 1960s sitcom "The Dick Van Dyke Show."
-
C.
Sally Alexander
Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
-
D.
Sally Fletcher
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
-
E.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
- 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: Sally Ellicott Triple: [Henry Baldwin, spouse, Sally Ellicott]
Generated description
Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Ellicott Target entity description: Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
-
A.
Sally Elliott
Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
-
B.
Sally Rogers
Sally Rogers is a quick-witted comedy writer and one of the central ensemble characters on the classic 1960s sitcom "The Dick Van Dyke Show."
-
C.
Sally Alexander
Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
-
D.
Sally Fletcher
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
-
E.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677935408190a28af4cd34d82aa4 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff67f64d2c81908fd2d8a09cd0b369 |
completed | May 9, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:31 p.m.