Triple
T23773937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S’il suffisait d’aimer |
E587616
|
entity |
| Predicate | performerLanguage |
P43093
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [S’il suffisait d’aimer, performerLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerLanguage Context triple: [S’il suffisait d’aimer, performerLanguage, French]
-
A.
performedLanguage
chosen
Indicates that an action, work, or performance was carried out using a specified language.
-
B.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
C.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
D.
performerOn
Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
-
E.
performerDescribedAs
Indicates that a performer is characterized or referred to using a particular description, label, or role.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c468fb948190baa66a4353f0ca71 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.