Triple
T15118924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Christopher statue |
E361115
|
entity |
| Predicate | hasRoleOfDepictedFigure |
P17608
|
FINISHED |
| Object | patron saint of travelers |
—
|
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: patron saint of travelers | Statement: [St Christopher statue, hasRoleOfDepictedFigure, patron saint of travelers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleOfDepictedFigure Context triple: [St Christopher statue, hasRoleOfDepictedFigure, patron saint of travelers]
-
A.
depictsPersonRole
chosen
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
B.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
C.
hasRoleCharacteristic
Indicates that an entity possesses a specific characteristic, quality, or attribute associated with a particular role.
-
D.
isCostumedCharacterFor
Indicates that one entity serves as a costumed character representation or mascot for another entity, typically for promotional or entertainment purposes.
-
E.
hasInUniverseRole
Indicates that an entity holds or performs a specific role or function within a particular fictional or defined universe.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059e036c8190959ff3bde8f2356f |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.