Triple
T4521018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Christopher |
E103267
|
entity |
| Predicate | legendaryOrigin |
P34184
|
FINISHED |
| Object | Canaanite or Reprobus in some traditions |
—
|
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: Canaanite or Reprobus in some traditions | Statement: [Saint Christopher, legendaryOrigin, Canaanite or Reprobus in some traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legendaryOrigin Context triple: [Saint Christopher, legendaryOrigin, Canaanite or Reprobus in some traditions]
-
A.
originMyth
Indicates the traditional myth or legendary narrative that explains the beginnings or creation of a people, place, institution, or phenomenon.
-
B.
mythologicalGeneration
Indicates a generational relationship in mythology, where one mythological being or group descends from or follows another in a lineage or succession.
-
C.
scriptureOrLegendSource
Indicates that something is derived from, based on, or documented in a particular scripture or legendary source.
-
D.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
E.
characterOrigin
chosen
Indicates the source, background, or initial context from which a character originates.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5749d95481908db0176459c096cf |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.