Triple
T38108015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pardoner |
E951574
|
entity |
| Predicate | centralThemeOfTaleHeTells |
P190742
|
FINISHED |
| Object | greed leads to death |
—
|
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: greed leads to death | Statement: [Pardoner, centralThemeOfTaleHeTells, greed leads to death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeOfTaleHeTells Context triple: [Pardoner, centralThemeOfTaleHeTells, greed leads to death]
-
A.
taleTheme
chosen
Indicates that a tale centers around, conveys, or is primarily associated with a particular theme.
-
B.
mainSettingOfStory
Indicates that a location or environment serves as the primary setting in which the events of a story take place.
-
C.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
D.
narrativeMotif
Indicates a recurring thematic element, pattern, or situation that appears across one or more narratives and helps structure or convey their underlying meanings.
-
E.
focusesOnNarrativeTheme
Indicates that an entity (such as a work, section, or analysis) centers its attention on, develops, or explores a particular narrative theme as a primary concern.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:21 p.m.