Triple
T22859939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Tree Lane |
E566887
|
entity |
| Predicate | fictionalHomeOf |
P7550
|
FINISHED |
| Object | Michael Banks |
—
|
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: Michael Banks | Statement: [Cherry Tree Lane, fictionalHomeOf, Michael Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Banks Context triple: [Cherry Tree Lane, fictionalHomeOf, Michael Banks]
-
A.
Michael Banks
Michael Banks is the husband of American children's author Kate Banks.
-
B.
Michael Banks
chosen
Michael Banks is a fictional character from the Mary Poppins stories, depicted as one of the Banks children who later appears as an adult father in the sequel film.
-
C.
Matthew Banks
Matthew Banks is a British politician who served as a Member of Parliament before being succeeded by John David Pugh.
-
D.
Don Banks
Don Banks was an Australian composer and jazz musician known for his modernist concert works and numerous film and television scores.
-
E.
Marcus Banks
Marcus Banks is a former American professional basketball player who played as a point guard in the NBA for several teams in the 2000s.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.