Triple
T6813223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Nanna |
E156686
|
entity |
| Predicate | caretakerOf |
P28603
|
FINISHED |
| Object | Jane Banks |
E126635
|
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: Jane Banks | Statement: [Katie Nanna, caretakerOf, Jane Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Banks Context triple: [Katie Nanna, caretakerOf, Jane Banks]
-
A.
Jane Banks
chosen
Jane Banks is a fictional character from the Mary Poppins stories, depicted as one of the Banks children who is revisited as an adult in later adaptations.
-
B.
Winifred Banks
Winifred Banks is a suffragette and the mother of the Banks children in the "Mary Poppins" stories and film adaptations.
-
C.
Sylvia Llewelyn Davies
Sylvia Llewelyn Davies was the real-life mother of the boys who inspired J. M. Barrie’s Peter Pan and a central figure in the story behind his creation of Neverland.
-
D.
Marilla Cuthbert
Marilla Cuthbert is the strict but caring adoptive guardian of Anne Shirley in L. M. Montgomery’s novel "Anne of Green Gables."
-
E.
Betsy Booth
Betsy Booth is a recurring teenage character in the Andy Hardy film series, portrayed as a sweet, musically talented girl who harbors a crush on Andy.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32b012481909b73784899ec2a0d |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723da8fe08190b507e569a2511f5a |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.