Triple
T37107560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Fox and His Canoe |
E918888
|
entity |
| Predicate | illustratorNationality |
P187156
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Red Fox and His Canoe, illustratorNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratorNationality Context triple: [Red Fox and His Canoe, illustratorNationality, American]
-
A.
illustratorOf
Indicates that one entity serves as the illustrator or creator of the visual artwork for another entity, such as a book, article, or other work.
-
B.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
C.
coverArtistNationality
Indicates the nationality of the artist who created the cover for a work.
-
D.
artistNationalityFocus
Indicates that an artist’s work, identity, or recognition is primarily associated with a particular nationality or national context.
-
E.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
- F. None of above. chosen
Provenance (4 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.