Triple
T25605695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nack |
E641903
|
entity |
| Predicate | basedOnWorkAward |
P17579
|
FINISHED |
| Object | Caldecott Medal (for Make Way for Ducklings) |
—
|
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: Caldecott Medal (for Make Way for Ducklings) | Statement: [Nack, basedOnWorkAward, Caldecott Medal (for Make Way for Ducklings)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkAward Context triple: [Nack, basedOnWorkAward, Caldecott Medal (for Make Way for Ducklings)]
-
A.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
B.
notableAwardWork
chosen
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
-
C.
awardRelatedWork
Indicates that there is a connection between an award and the work (such as a project, publication, or performance) for which it was given or with which it is associated.
-
D.
hasAwardedFieldOfWork
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
-
E.
basedOnWorkAppearedIn
Indicates that something is derived from, adapted from, or otherwise created using a work that appeared in a specified source or publication.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 4:38 p.m.