Triple
T32951097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison DuBois |
E842952
|
entity |
| Predicate | hasVisionsOf |
P26266
|
FINISHED |
| Object | murder victims |
—
|
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: murder victims | Statement: [Allison DuBois, hasVisionsOf, murder victims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisionsOf Context triple: [Allison DuBois, hasVisionsOf, murder victims]
-
A.
hasVisionOf
chosen
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
B.
hasVisionOrTrance
Indicates that an entity experiences or is subject to a vision or trance state.
-
C.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
D.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
-
E.
hasSupernaturalPerceptionOf
Indicates that one entity possesses a supernatural or extrasensory awareness, insight, or perception specifically directed toward 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:21 a.m.