Triple
T16652133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voodoo Medicine Man |
E404631
|
entity |
| Predicate | associatedMechanics |
P23573
|
FINISHED |
| Object | mystical events |
—
|
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: mystical events | Statement: [Voodoo Medicine Man, associatedMechanics, mystical events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMechanics Context triple: [Voodoo Medicine Man, associatedMechanics, mystical events]
-
A.
relatedMechanism
Indicates a causal or functional connection where one entity serves as the mechanism or process through which another entity’s effect, behavior, or outcome is brought about.
-
B.
associatedWithMechanic
chosen
Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
-
C.
mentionsMechanism
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
D.
interactionMechanism
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
E.
featuresMechanic
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.