Triple
T22080587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rilla of Ingleside |
E545637
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Susan Baker |
—
|
NE NERFINISHED |
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: Susan Baker | Statement: [Rilla of Ingleside, featuresCharacter, Susan Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Baker Context triple: [Rilla of Ingleside, featuresCharacter, Susan Baker]
-
A.
Susan Baker
chosen
Susan Baker is a practical, plain-spoken housekeeper and caretaker who provides down-to-earth support and comic relief in L. M. Montgomery’s novel "Anne's House of Dreams."
-
B.
Susan Baker
Susan Baker is an American advocate and co-founder of the Parents Music Resource Center, known for her role in promoting parental advisory labeling on music.
-
C.
Susan Borman
Susan Borman was the wife of Apollo 8 astronaut Frank Borman and a prominent figure among the early NASA astronaut wives, known for her role in supporting her husband’s career and coping with the stresses of the space program.
-
D.
Rose Baker
Rose Baker is a student who receives academic tutoring from Megan Smith.
-
E.
Rose Baker
Rose Baker is a fictional character typically portrayed as a young woman from a wealthy, socially advantaged background.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b6338481908e6bb0187cdd42af |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.