Triple
T1151784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belshazzar |
E23691
|
entity |
| Predicate | visionOrSign |
P26123
|
FINISHED |
| Object | mysterious handwriting on the wall |
—
|
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: mysterious handwriting on the wall | Statement: [Belshazzar, visionOrSign, mysterious handwriting on the wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionOrSign Context triple: [Belshazzar, visionOrSign, mysterious handwriting on the wall]
-
A.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
B.
vision
Indicates that an entity perceives another entity or object visually, using sight.
-
C.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
D.
signatureGesture
Indicates a distinctive or characteristic gesture that is uniquely associated with a particular individual or entity.
-
E.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
- F. None of above. chosen
Provenance (4 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:44 p.m.