Triple
T36920432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Phillips |
E913179
|
entity |
| Predicate | isDeputyEditorOf |
P186746
|
FINISHED |
| Object | Junior Gazette |
—
|
NE NERFINISHED |
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: Junior Gazette | Statement: [Kenny Phillips, isDeputyEditorOf, Junior Gazette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDeputyEditorOf Context triple: [Kenny Phillips, isDeputyEditorOf, Junior Gazette]
-
A.
wasEditorOf
Indicates that one entity served in the role of editor for another entity, such as a publication, work, or collection.
-
B.
hasManagingEditor
Indicates that one entity serves as the managing editor responsible for overseeing the editorial operations of another entity.
-
C.
formerEditorInChief
Indicates that a person previously held, but no longer holds, the position of editor-in-chief of a publication or organization.
-
D.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
E.
namedEditorInChief
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.