Triple
T36346415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasGrimmVersionTitle |
P85247
|
FINISHED |
| Object | Little Briar Rose |
—
|
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: Little Briar Rose | Statement: [Sleeping Beauty, hasGrimmVersionTitle, Little Briar Rose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrimmVersionTitle Context triple: [Sleeping Beauty, hasGrimmVersionTitle, Little Briar Rose]
-
A.
GrimmVersionTitle
chosen
Indicates that a title is the one used for a specific Grimm version or variant of a work.
-
B.
hasCensoredTitleVersion
Indicates that an entity has an alternative version of its title in which certain content has been censored, removed, or altered.
-
C.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
-
D.
hasTitleFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
E.
hasShorterSingleVersionTitle
Indicates that one entity’s title is a shorter, single-version form of another entity’s title.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.