Triple
T22810797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Barron et l'éternité |
E564665
|
entity |
| Predicate | a pour sujet |
P142219
|
FINISHED |
| Object | émission de télévision politique fictive |
—
|
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: émission de télévision politique fictive | Statement: [Jack Barron et l'éternité, a pour sujet, émission de télévision politique fictive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: a pour sujet Context triple: [Jack Barron et l'éternité, a pour sujet, émission de télévision politique fictive]
-
A.
titleSubjectOf
chosen
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
B.
subjectOfProject
Indicates that an entity serves as the main focus, topic, or target of a particular project.
-
C.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
subjectMVP
Indicates that the subject is considered the most valuable player (MVP) in a given context or event.
-
E.
basedOnSubjectOf
Indicates that something is derived from, informed by, or constructed using the subject matter or content of another 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.