Triple
T20094923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Ménard |
E496373
|
entity |
| Predicate | typeOfJournalism |
P89241
|
FINISHED |
| Object | advocacy journalism |
—
|
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: advocacy journalism | Statement: [Robert Ménard, typeOfJournalism, advocacy journalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfJournalism Context triple: [Robert Ménard, typeOfJournalism, advocacy journalism]
-
A.
journalismType
chosen
Indicates the specific category or style of journalism that characterizes a given journalistic work or activity.
-
B.
journalismSchool
Indicates that one entity is a journalism school attended by, affiliated with, or providing education/training in journalism to the other entity.
-
C.
journalType
Indicates the specific category or format of a journal associated with an entity.
-
D.
comparedJournalismTo
Indicates that one entity explicitly likened or evaluated something in relation to journalism, drawing a comparison between the two.
-
E.
mediaSubject
Indicates that a piece of media (e.g., an article, video, or broadcast) is about, focuses on, or covers a particular subject or topic.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666b891c8190b4e4a60b73728771 |
completed | April 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:24 p.m.