Triple
T10972510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorian Gray |
E259276
|
entity |
| Predicate | supernaturalEffect |
P13814
|
FINISHED |
| Object | portrait bears his sins and aging |
—
|
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: portrait bears his sins and aging | Statement: [Dorian Gray, supernaturalEffect, portrait bears his sins and aging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supernaturalEffect Context triple: [Dorian Gray, supernaturalEffect, portrait bears his sins and aging]
-
A.
containsSupernaturalElement
chosen
Indicates that the subject involves or features a supernatural, magical, or otherworldly element beyond normal natural laws.
-
B.
hasSupernaturalPerceptionOf
Indicates that one entity possesses a supernatural or extrasensory awareness, insight, or perception specifically directed toward another entity.
-
C.
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).
-
D.
hasSuperstition
Indicates that one entity holds or practices a particular superstition related to another entity or concept.
-
E.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.