Triple
T20137527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Ingalls Wilder Medal |
E491060
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Katherine Paterson |
—
|
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: Katherine Paterson | Statement: [Laura Ingalls Wilder Medal, notableRecipient, Katherine Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine Paterson Context triple: [Laura Ingalls Wilder Medal, notableRecipient, Katherine Paterson]
-
A.
Katherine Paterson
chosen
Katherine Paterson is an acclaimed American author of children's and young adult literature, best known for novels such as "Bridge to Terabithia" and "Jacob Have I Loved."
-
B.
Lucille Findley
Lucille Findley was the wife of longtime U.S. Congressman and author Paul Findley.
-
C.
Natalie Babbitt
Natalie Babbitt was an American author and illustrator of children’s books, best known for her classic fantasy novel "Tuck Everlasting."
-
D.
Wendelin Van Draanen
Wendelin Van Draanen is an American author best known for her young adult and children’s novels, including the popular book "Flipped."
-
E.
Margaret Chodos-Irvine
Margaret Chodos-Irvine is an American illustrator and printmaker known for her distinctive, textured artwork in children’s books.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.