Triple
T6875612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newbery Medal |
E158663
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | John Newbery Medal |
E158663
|
NE 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: John Newbery Medal | Statement: [Newbery Medal, alsoKnownAs, John Newbery Medal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Newbery Medal Context triple: [Newbery Medal, alsoKnownAs, John Newbery Medal]
-
A.
Newbery Medal
chosen
The Newbery Medal is a prestigious American literary award given annually to the author of the most distinguished contribution to children's literature.
-
B.
Caldecott Medal
The Caldecott Medal is a prestigious annual American award recognizing the most distinguished picture book for children published in the United States.
-
C.
Carnegie Medal
The Carnegie Medal is a prestigious British literary award given annually to an outstanding book for children or young adults.
-
D.
Kate Greenaway Medal
The Kate Greenaway Medal is a prestigious British literary award presented annually for outstanding illustration in a children's book.
-
E.
Laura Ingalls Wilder Medal
The Laura Ingalls Wilder Medal is a prestigious American children's literature award honoring authors and illustrators for their substantial and lasting contributions to the field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742bd0bfc8190971aa9d8b7e6709d |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.