Triple
T14414850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Hoffman |
E357422
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bibbidi-Bobbidi-Boo |
E62939
|
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: Bibbidi-Bobbidi-Boo | Statement: [Al Hoffman, notableWork, Bibbidi-Bobbidi-Boo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibbidi-Bobbidi-Boo Context triple: [Al Hoffman, notableWork, Bibbidi-Bobbidi-Boo]
-
A.
Bibbidi-Bobbidi-Boo
chosen
"Bibbidi-Bobbidi-Boo" is a whimsical magic-themed song from Disney's animated film Cinderella, best known for its playful nonsense lyrics sung by the Fairy Godmother.
-
B.
We're Off to See the Wizard
"We're Off to See the Wizard" is a lively, iconic musical number from the 1939 film *The Wizard of Oz*, sung by Dorothy and her companions as they journey along the Yellow Brick Road.
-
C.
Upsy Daisy
Upsy Daisy is a brightly dressed, doll-like character from the British children's television series "In the Night Garden..." known for her cheerful personality, singing, and love of dancing.
-
D.
Baby Me
"Baby Me" is a song by CK.
-
E.
Tinkle Bells
Tinkle Bells was the original, later-changed title of the classic Christmas song "Silver Bells."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.