Triple
T17610657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Teacher (Gregory of Nyssa’s writings) |
E428955
|
entity |
| Predicate | guidesThroughTheme |
P91427
|
FINISHED |
| Object | meaning of 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: meaning of death | Statement: [The Teacher (Gregory of Nyssa’s writings), guidesThroughTheme, meaning of death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesThroughTheme Context triple: [The Teacher (Gregory of Nyssa’s writings), guidesThroughTheme, meaning of death]
-
A.
guidesThroughRealm
Indicates that one entity leads or directs another entity through a particular realm, domain, or environment.
-
B.
exhibitTheme
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
C.
tacklesTheme
chosen
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
D.
hasGuides
Indicates that an entity is associated with one or more guides that provide direction, instruction, or assistance.
-
E.
undergoesTheme
Indicates that an entity experiences or is subjected to a process, event, or change described by another entity or action.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.