Triple
T38122960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Parson |
E951990
|
entity |
| Predicate | taleTheme |
P190742
|
FINISHED |
| Object | penitence |
—
|
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: penitence | Statement: [The Parson, taleTheme, penitence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taleTheme Context triple: [The Parson, taleTheme, penitence]
-
A.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
B.
dramaticTheme
Indicates that a work, scene, or narrative centers around a particular dramatic subject, motif, or emotional conflict as its main thematic focus.
-
C.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
D.
book3Theme
Indicates that a theme is associated with or expressed in the third book of a series or collection.
-
E.
fictionalThemePark
Indicates a relationship where an entity is a theme park that exists only within a fictional or imaginary context.
- F. None of above. chosen
Provenance (4 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 3, 2026, 4:21 p.m.