Triple
T38121372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behedet |
E951944
|
entity |
| Predicate | deityRoleEmphasized |
P70606
|
FINISHED |
| Object | protector deity |
—
|
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: protector deity | Statement: [Behedet, deityRoleEmphasized, protector deity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityRoleEmphasized Context triple: [Behedet, deityRoleEmphasized, protector deity]
-
A.
roleOfReferencedDeity
Indicates that one entity specifies the function, status, or position held by a deity that is referenced in relation to another entity or context.
-
B.
emphasizesAspectOfDeity
chosen
Indicates that one entity highlights, stresses, or draws special attention to a particular attribute, role, or dimension of a deity.
-
C.
mainDeity
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
D.
portraysDeity
Indicates that one entity represents, depicts, or characterizes another entity as a deity or divine being.
-
E.
deityCategory
Indicates that one entity is classified as belonging to a particular category or type of deity in relation to another entity.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.