Triple
T12391562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Bishop |
E296005
|
entity |
| Predicate | hasSupernaturalContext |
P13814
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bob Bishop, hasSupernaturalContext, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupernaturalContext Context triple: [Bob Bishop, hasSupernaturalContext, yes]
-
A.
hasSupernaturalStatus
Indicates that an entity possesses a status, condition, or role that is beyond or outside normal natural laws (e.g., divine, magical, or otherwise supernatural).
-
B.
containsSupernaturalElement
chosen
Indicates that the subject involves or features a supernatural, magical, or otherworldly element beyond normal natural laws.
-
C.
hasSupernaturalPerceptionOf
Indicates that one entity possesses a supernatural or extrasensory awareness, insight, or perception specifically directed toward another entity.
-
D.
hasSuperstition
Indicates that one entity holds or practices a particular superstition related to another entity or concept.
-
E.
mainSupernaturalEntity
Indicates that one entity is the primary or central supernatural being associated with, influencing, or defining another entity or context.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.