Triple
T28144052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Forbidden Eye |
E714426
|
entity |
| Predicate | fictionalDeityWorshipped |
P5606
|
FINISHED |
| Object | Mara |
—
|
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: Mara | Statement: [Temple of the Forbidden Eye, fictionalDeityWorshipped, Mara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalDeityWorshipped Context triple: [Temple of the Forbidden Eye, fictionalDeityWorshipped, Mara]
-
A.
hasDeity
chosen
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
B.
worshippedByCharacter
Indicates that a character is the object of religious or devoted worship performed by another character.
-
C.
otherDeity
Indicates that one deity is distinct from and not identical to another deity within a given context or system.
-
D.
worshippedDeityCulture
Indicates that a particular culture reveres, honors, or practices religious devotion toward a specific deity.
-
E.
veneratedBeings
Indicates that certain beings are regarded with deep respect, reverence, or worship by others.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 9:55 p.m.