Triple
T31159681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge, Jury and Executioner |
E794304
|
entity |
| Predicate | hasElectronicTextures |
P179515
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Judge, Jury and Executioner, hasElectronicTextures, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectronicTextures Context triple: [Judge, Jury and Executioner, hasElectronicTextures, true]
-
A.
hasElectronicEffect
Indicates that one entity exerts or contributes an electronic influence or effect on another entity within a specified context.
-
B.
hasElectronicCharacter
Indicates that something possesses qualities, properties, or behavior associated with electronics or electronic systems.
-
C.
hasElectronicsFeature
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
-
D.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
E.
isElectronicOnly
Indicates that the item or resource exists solely in digital form and is not available in any physical format.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 29, 2026, 9:07 p.m.