Triple
T17030184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Bécaud |
E413172
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Je t’appartiens |
E1246901
|
NE 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: Je t’appartiens | Statement: [Gilbert Bécaud, wroteSong, Je t’appartiens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Je t’appartiens Context triple: [Gilbert Bécaud, wroteSong, Je t’appartiens]
-
A.
Je t’appartiens
chosen
"Je t’appartiens" is a classic French chanson of enduring popularity, best known internationally through its English adaptation "Let It Be Me."
-
B.
Pour que tu m’aimes encore
"Pour que tu m’aimes encore" is one of Céline Dion’s most iconic French-language ballads, renowned for its emotional lyrics and powerful vocal performance.
-
C.
Je te veux
"Je te veux" is a popular early 20th-century French waltz-song composed by Erik Satie, known for its sensual melody and cabaret origins.
-
D.
Je t’aime
"Je t’aime" is a powerful French pop ballad by Belgian-Canadian singer Lara Fabian, renowned for its emotional intensity and vocal performance.
-
E.
De l'amour
De l'amour is a psychological and philosophical treatise by Stendhal that analyzes the nature, stages, and illusions of romantic love.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012336cfd481909f93c6ea7c94b49f |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.