Triple
T3224427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Sheridan |
E67589
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Donna Sheridan |
E175252
|
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: Donna Sheridan | Statement: [Sophie Sheridan, hasMother, Donna Sheridan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Sheridan Context triple: [Sophie Sheridan, hasMother, Donna Sheridan]
-
A.
Donna Sheridan
chosen
Donna Sheridan is the free-spirited, independent single mother at the heart of the musical and film "Mamma Mia!", known for her past with three former lovers and her close bond with her daughter Sophie.
-
B.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
C.
Norma Shepherd
Norma Shepherd was the wife of renowned film composer Bernard Herrmann, known primarily in relation to his personal life.
-
D.
Elinor Donahue
Elinor Donahue is an American actress best known for her work in classic television sitcoms of the 1950s and 1960s.
-
E.
Bernice Fisher
Bernice Fisher was an American civil rights activist and organizer who helped pioneer nonviolent direct action tactics and co-founded the Congress of Racial Equality.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1ae8f08190880d0f0e8539cdbc |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdc422d08190aa67bc39619c3290 |
completed | March 14, 2026, 2:53 a.m. |
Created at: March 8, 2026, 3:08 p.m.