Triple
T15315772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kipper the Dog |
E366151
|
entity |
| Predicate | bookFormat |
P102437
|
FINISHED |
| Object | picture book |
—
|
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: picture book | Statement: [Kipper the Dog, bookFormat, picture book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookFormat Context triple: [Kipper the Dog, bookFormat, picture book]
-
A.
circulationFormat
Indicates the medium or format in which an item is made available for circulation or lending (e.g., physical, digital, audio).
-
B.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
C.
paperFormat
Indicates the specific size or layout standard in which a paper document is produced or presented.
-
D.
traditionalBooks
Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
-
E.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.