Triple
T11619668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Eustace |
E275603
|
entity |
| Predicate | conversionStory |
P87699
|
FINISHED |
| Object | vision of Christ between the antlers of a stag while hunting |
—
|
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: vision of Christ between the antlers of a stag while hunting | Statement: [Saint Eustace, conversionStory, vision of Christ between the antlers of a stag while hunting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionStory Context triple: [Saint Eustace, conversionStory, vision of Christ between the antlers of a stag while hunting]
-
A.
conversionNarratives
chosen
Indicates a relationship where one or more entities describe, recount, or frame the process and experience of undergoing a conversion or significant change.
-
B.
narrativeShift
Indicates a change in the narrative perspective, time, focus, or structure within a story or discourse.
-
C.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
D.
reasonForConversion
Indicates the cause, motivation, or justification behind a particular conversion event or change.
-
E.
conversionWave
Indicates a process in which changes or transformations spread through entities or states in a sequential, wave-like manner.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.