Triple
T18350939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Soldier (In the Penal Colony) |
E439664
|
entity |
| Predicate | embeddedInWorkTheme |
P56598
|
FINISHED |
| Object | critique of capital punishment |
—
|
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: critique of capital punishment | Statement: [the Soldier (In the Penal Colony), embeddedInWorkTheme, critique of capital punishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embeddedInWorkTheme Context triple: [the Soldier (In the Penal Colony), embeddedInWorkTheme, critique of capital punishment]
-
A.
associatedWithWorkTheme
chosen
Indicates a relationship where something is connected or related to a particular work theme or subject matter.
-
B.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
inUniverseTheme
Indicates that a theme or motif exists within and is relevant to the internal, fictional universe of a work, as opposed to being purely meta or external.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
activityTheme
Indicates that an activity is centered around, focused on, or characterized by a particular theme.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.