Triple
T8756265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HJSON |
E208078
|
entity |
| Predicate | intendedEditor |
P85211
|
FINISHED |
| Object | human users |
—
|
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: human users | Statement: [HJSON, intendedEditor, human users]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEditor Context triple: [HJSON, intendedEditor, human users]
-
A.
mainEditor
Indicates that one entity serves as the primary editor responsible for overseeing and managing the editing of another entity.
-
B.
laterEditor
Indicates that one entity served as an editor of a work at a later time or in a subsequent edition relative to another editor.
-
C.
earlyEditor
Indicates that an entity served as an editor of another entity at an early stage in its development or production.
-
D.
editorName
Indicates the relationship that specifies the name of an editor associated with a given entity.
-
E.
defaultEditorSince
Indicates the point in time since which a particular entity has been designated as the default editor for another entity or context.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:40 p.m.