Triple
T22501266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epilogue |
E556273
|
entity |
| Predicate | hasSubsequentWorkRelationship |
P31222
|
FINISHED |
| Object | serves as a segue into Morning Dew |
—
|
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: serves as a segue into Morning Dew | Statement: [Epilogue, hasSubsequentWorkRelationship, serves as a segue into Morning Dew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequentWorkRelationship Context triple: [Epilogue, hasSubsequentWorkRelationship, serves as a segue into Morning Dew]
-
A.
hasSubsequentWork
chosen
Indicates that one work is followed by another work that continues, succeeds, or builds upon it in sequence.
-
B.
hasPrecedingWork
Indicates that one work comes before another in a sequence, serving as its predecessor.
-
C.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
D.
successorRelationship
Indicates a relationship where one entity directly follows or replaces another in a sequence, order, or role.
-
E.
hasParentWork
Indicates that one work is derived from, contained within, or otherwise subordinate to another, more primary work.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb5ddd48190b1d99b936afeda37 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.