Triple
T25849740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrine of Saint Nicholas |
E651166
|
entity |
| Predicate | inspiredFigure |
P61130
|
FINISHED |
| Object | modern Santa Claus |
—
|
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: modern Santa Claus | Statement: [Shrine of Saint Nicholas, inspiredFigure, modern Santa Claus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredFigure Context triple: [Shrine of Saint Nicholas, inspiredFigure, modern Santa Claus]
-
A.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
B.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
-
C.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 7:58 a.m.