Triple
T3108427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isis-Serapis |
E64890
|
entity |
| Predicate | hasCultType |
P31473
|
FINISHED |
| Object | mystery cult |
—
|
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: mystery cult | Statement: [Isis-Serapis, hasCultType, mystery cult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCultType Context triple: [Isis-Serapis, hasCultType, mystery cult]
-
A.
hasCultFollowing
Indicates that something has attracted a small but highly dedicated and enthusiastic group of supporters or fans.
-
B.
typeOfCult
chosen
Indicates that one entity is a specific kind or category of cult relative to another entity.
-
C.
hasCultTitle
Indicates that an entity is known by or associated with a specific cult-related title or honorific.
-
D.
hasCultivar
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
E.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29eacc88190a19c5ca8e53e3dca |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.