Triple
T25827486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Cleary’s Klickitat Street neighborhood |
E650572
|
entity |
| Predicate | associatedWithAuthorChildhood |
P193947
|
FINISHED |
| Object | Beverly Cleary |
—
|
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: Beverly Cleary | Statement: [Beverly Cleary’s Klickitat Street neighborhood, associatedWithAuthorChildhood, Beverly Cleary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorChildhood Context triple: [Beverly Cleary’s Klickitat Street neighborhood, associatedWithAuthorChildhood, Beverly Cleary]
-
A.
childhoodAssociation
Indicates a relationship where two entities are connected through shared experiences, interactions, or familiarity originating from their childhood period.
-
B.
associatedWithAuthorHeritage
Indicates a relationship where something is connected or related to the cultural, ethnic, or national heritage of an author.
-
C.
hasChildhood
chosen
Indicates that one entity serves as the childhood period, environment, or experience of another entity.
-
D.
placeAssociatedWithAuthor
Indicates a relationship where a place is connected to an author, such as by birth, residence, work, or significant activity.
-
E.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: April 22, 2026, 7:37 a.m.