Triple
T10034453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contend in Vain? |
E204928
|
entity |
| Predicate | workChronologyWithinNovel |
P57383
|
FINISHED |
| Object | one of three main sections |
—
|
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: one of three main sections | Statement: [Contend in Vain?, workChronologyWithinNovel, one of three main sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyWithinNovel Context triple: [Contend in Vain?, workChronologyWithinNovel, one of three main sections]
-
A.
workInChronologyOfAuthor
chosen
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
B.
worksForInNovel
Indicates that one entity is employed by or serves another entity within the fictional context of a specific novel.
-
C.
projectInNovel
Indicates that a specific project appears within, is described in, or is otherwise part of the content of a particular novel.
-
D.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
E.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.