Triple
T8388232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Lillis |
E197873
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | Gretel & Hansel |
E446886
|
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: Gretel & Hansel | Statement: [Sophia Lillis, characterIn, Gretel & Hansel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gretel & Hansel Context triple: [Sophia Lillis, characterIn, Gretel & Hansel]
-
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 & 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.
-
C.
Holda in Gretel & Hansel
Holda in "Gretel & Hansel" is the sinister witch who lures children to her enchanted forest home and serves as the film’s primary antagonist.
-
D.
Onkel Hans
Onkel Hans is the jovial, lederhosen-clad mascot character symbolizing the Bavarian-themed spirit of the Kitchener-Waterloo Oktoberfest in Ontario, Canada.
-
E.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02cb3a1481908d30993d47c70039 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:03 p.m.