Triple
T13227348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Pelle Cutem |
E314915
|
entity |
| Predicate | literalTheme |
P61759
|
FINISHED |
| Object | exchange of skins |
—
|
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: exchange of skins | Statement: [Pro Pelle Cutem, literalTheme, exchange of skins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literalTheme Context triple: [Pro Pelle Cutem, literalTheme, exchange of skins]
-
A.
litUsing
Indicates that something is illuminated or lit by means of a specified light source or method.
-
B.
literaryThemeInvolvement
chosen
Indicates the involvement or presence of a particular literary theme within a work, passage, or character arc.
-
C.
languageOfTheme
Indicates that a particular language is used to express, describe, or label a given theme or subject.
-
D.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
E.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:21 p.m.