Triple
T10727744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Long Day’s Dying |
E252992
|
entity |
| Predicate | hasCriticalDiscussionIn |
P33880
|
FINISHED |
| Object | studies of Frederick Buechner’s fiction |
—
|
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: studies of Frederick Buechner’s fiction | Statement: [A Long Day’s Dying, hasCriticalDiscussionIn, studies of Frederick Buechner’s fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCriticalDiscussionIn Context triple: [A Long Day’s Dying, hasCriticalDiscussionIn, studies of Frederick Buechner’s fiction]
-
A.
containsDiscussionOf
chosen
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
B.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
C.
hasNotableCritic
Indicates that one entity serves as a significant or widely recognized critic of another entity.
-
D.
notableWorkDiscussed
Indicates that a particular work (such as a book, film, or artwork) is the subject of discussion, analysis, or commentary in relation to another entity.
-
E.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc7cc1c8190b4a1dcadf8563b20 |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.