Triple
T17873283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansel & Gretel |
E446886
|
entity |
| Predicate | languageOfNarrativeOrigin |
P77862
|
FINISHED |
| Object | German |
—
|
LITERAL 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: German | Statement: [Hansel & Gretel, languageOfNarrativeOrigin, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNarrativeOrigin Context triple: [Hansel & Gretel, languageOfNarrativeOrigin, German]
-
A.
languageOfPrimaryNarrations
chosen
Indicates the language in which the main or primary narrations are expressed or conveyed.
-
B.
languageOfOriginalDescription
Indicates that something is expressed or documented in its initial or source language version.
-
C.
shortStoryOriginalLanguage
Indicates the original language in which a short story was first written or published.
-
D.
originalLanguageOfWholeWork
Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- F. None of above.
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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa4959881908774dafb7be99191 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.