Triple
T19519654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émeute Maurice Richard |
E488369
|
entity |
| Predicate | aPourSujet |
P450
|
FINISHED |
| Object | suspension d’un joueur vedette des Canadiens de Montréal |
—
|
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: suspension d’un joueur vedette des Canadiens de Montréal | Statement: [Émeute Maurice Richard, aPourSujet, suspension d’un joueur vedette des Canadiens de Montréal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aPourSujet Context triple: [Émeute Maurice Richard, aPourSujet, suspension d’un joueur vedette des Canadiens de Montréal]
-
A.
subjectMVP
Indicates that the subject is considered the most valuable player (MVP) in a given context or event.
-
B.
neDoitPasÊtreConfonduAvec
Indicates that one entity should not be mistaken for, or confused with, another distinct entity.
-
C.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
-
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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359edd508190afd68739de676ed7 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7d0da88190aabf8b5799691fb1 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.