Triple
T21148132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beelzebub |
E521113
|
entity |
| Predicate | worshipStatusInAbrahamicFaiths |
P143058
|
FINISHED |
| Object | considered evil spirit |
—
|
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: considered evil spirit | Statement: [Beelzebub, worshipStatusInAbrahamicFaiths, considered evil spirit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshipStatusInAbrahamicFaiths Context triple: [Beelzebub, worshipStatusInAbrahamicFaiths, considered evil spirit]
-
A.
worshipLevel
Indicates the degree or intensity to which one entity reveres, honors, or performs acts of worship toward another entity.
-
B.
worshipLinkedTo
Indicates that an act or practice of worship is connected or associated with a particular entity, concept, or context.
-
C.
worshipSymbol
Indicates a relationship where one entity venerates, honors, or directs religious devotion toward another entity as a sacred symbol.
-
D.
isAbrahamicTradition
Indicates that a religious tradition belongs to the family of faiths historically derived from the beliefs and practices of Abraham.
-
E.
worshipType
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fe9da88190b65c370b1efcbb96 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.