Triple
T23730515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukowski: Born into This |
E586396
|
entity |
| Predicate | includesReadingsOf |
P26440
|
FINISHED |
| Object | poems by Charles Bukowski |
—
|
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: poems by Charles Bukowski | Statement: [Bukowski: Born into This, includesReadingsOf, poems by Charles Bukowski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesReadingsOf Context triple: [Bukowski: Born into This, includesReadingsOf, poems by Charles Bukowski]
-
A.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
B.
requiredReadingFor
Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
-
C.
textsIncludedIn
chosen
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
D.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
-
E.
alsoReadBy
Indicates that an item (such as a document, article, or book) has been read by another user or entity in addition to the primary one under consideration.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9193b14819096f1c7b11a441569 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.