Triple
T33234620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Jesus |
E850790
|
entity |
| Predicate | portraysSettingAs |
P54861
|
FINISHED |
| Object | Galilee and Palestine under Roman rule |
—
|
NE NERFINISHED |
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: Galilee and Palestine under Roman rule | Statement: [Life of Jesus, portraysSettingAs, Galilee and Palestine under Roman rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSettingAs Context triple: [Life of Jesus, portraysSettingAs, Galilee and Palestine under Roman rule]
-
A.
portrayedInSetting
chosen
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
-
B.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
C.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
-
D.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
-
E.
portrayalIntendedAs
Indicates that one entity is meant to represent, depict, or stand in for another entity in an intentional portrayal.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:31 a.m.