Triple
T31213716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Just Can't Stop Loving You |
E795815
|
entity |
| Predicate | hasFrenchLanguageVersion |
P91232
|
FINISHED |
| Object | Je Ne Veux Pas La Fin De Nous |
—
|
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: Je Ne Veux Pas La Fin De Nous | Statement: [I Just Can't Stop Loving You, hasFrenchLanguageVersion, Je Ne Veux Pas La Fin De Nous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrenchLanguageVersion Context triple: [I Just Can't Stop Loving You, hasFrenchLanguageVersion, Je Ne Veux Pas La Fin De Nous]
-
A.
containsFrenchPhrases
Indicates that the subject includes one or more phrases expressed in the French language.
-
B.
isFrancophoneCounterpartOf
chosen
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
hasSpanishLanguageVersion
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
D.
usesPrimaryFrenchGateway
Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
-
E.
hasChineseVersion
Indicates that an entity has a corresponding version or representation available in Chinese.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 9:09 p.m.