Triple
T6592977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartley Coleridge |
E148405
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Sara Fricker |
E156022
|
NE FINISHED |
How this triple was built (2 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: Sara Fricker | Statement: [Hartley Coleridge, mother, Sara Fricker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Fricker Context triple: [Hartley Coleridge, mother, Sara Fricker]
-
A.
Edith Fricker
chosen
Edith Fricker was the wife of English Romantic poet Robert Southey and a member of the literary Fricker family connected with several Lake Poets.
-
B.
Brenda Fricker
Brenda Fricker is an Irish actress best known for her Academy Award–winning performance as Christy Brown’s mother in the film "My Left Foot."
-
C.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
D.
Mary McDonnell
Mary McDonnell is an American actress known for her acclaimed film and television roles, including her work in dramas and science fiction such as "Dances with Wolves" and "Battlestar Galactica."
-
E.
Arlene Alda
Arlene Alda is an American photographer, author, and former clarinetist known for her children's books and marriage to actor Alan Alda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aecf50ac81909cb9960c8265a7ea |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e4f308048190a5c42022e3f9e855 |
completed | March 28, 2026, 2:25 p.m. |
Created at: March 27, 2026, 1:55 p.m.