Triple
T18945362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Demaree |
E463497
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Hansel & Gretel |
—
|
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: Hansel & Gretel | Statement: [Ben Demaree, workedOn, Hansel & Gretel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hansel & Gretel Context triple: [Ben Demaree, workedOn, Hansel & Gretel]
-
A.
Hansel & Gretel
chosen
Hansel & Gretel is a popular ballet adaptation of the classic Brothers Grimm fairy tale about two siblings who outwit a witch in a magical forest.
-
B.
Hansel
Hansel is a young boy from the classic fairy tale "Hansel and Gretel," known for his cleverness in trying to outwit a witch after being abandoned in the forest.
-
C.
Onkel Hans
Onkel Hans is the jovial, lederhosen-clad mascot character symbolizing the Bavarian-themed spirit of the Kitchener-Waterloo Oktoberfest in Ontario, Canada.
-
D.
Gänseliesel
Gänseliesel is a famous fountain statue in Göttingen, Germany, traditionally kissed by newly graduated students and considered one of the city’s most beloved landmarks.
-
E.
Hansel & Gretel: Witch Hunters
Hansel & Gretel: Witch Hunters is a 2013 dark fantasy action film that reimagines the classic fairy-tale siblings as adult bounty hunters who specialize in tracking and killing witches.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.