Triple
T9766807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alastair Stewart |
E237013
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sally Ann Stewart
Sally Ann Stewart is known as the wife of British journalist and longtime ITV news presenter Alastair Stewart.
|
E954325
|
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 Ann Stewart | Statement: [Alastair Stewart, spouse, Sally Ann Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Ann Stewart Context triple: [Alastair Stewart, spouse, Sally Ann Stewart]
-
A.
Sally Alexander
Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
-
B.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
C.
Sally O’Neil
Sally O’Neil was an American film actress of the silent and early sound era, known for her vivacious screen presence in late 1920s Hollywood comedies and dramas.
-
D.
Sally Crocker
Sally Crocker is a notable individual who shares the Crocker surname, recognized enough to be specifically cited as a bearer of the name.
-
E.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
- 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 Ann Stewart Triple: [Alastair Stewart, spouse, Sally Ann Stewart]
Generated description
Sally Ann Stewart is known as the wife of British journalist and longtime ITV news presenter Alastair Stewart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Ann Stewart Target entity description: Sally Ann Stewart is known as the wife of British journalist and longtime ITV news presenter Alastair Stewart.
-
A.
Sally Alexander
Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
-
B.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
C.
Sally O’Neil
Sally O’Neil was an American film actress of the silent and early sound era, known for her vivacious screen presence in late 1920s Hollywood comedies and dramas.
-
D.
Sally Crocker
Sally Crocker is a notable individual who shares the Crocker surname, recognized enough to be specifically cited as a bearer of the name.
-
E.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a15e408190909745cb1c30937d |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ee693048190a8c7ecdf8724d3ec |
completed | May 1, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69f448f506a48190a0f1b89ad570fad5 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44ad185cc8190893cf663cfed6980 |
completed | May 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 8:25 p.m.