Triple
T16953468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaia |
E411238
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
J'ai Envie De Toi
"J'ai Envie De Toi" is a popular French song best known in its Eurodance version by the group Gala, often associated with 1990s dance music culture.
|
E1242987
|
NE FINISHED |
How this triple was built (4 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: J'ai Envie De Toi | Statement: [Gaia, notableWork, J'ai Envie De Toi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J'ai Envie De Toi Context triple: [Gaia, notableWork, J'ai Envie De Toi]
-
A.
J’ai pas envie
"J’ai pas envie" is a song by British singer-songwriter Mika featured on his album "No Place in Heaven."
-
B.
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.
-
C.
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.
-
D.
Voulez-Vous
"Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: J'ai Envie De Toi Triple: [Gaia, notableWork, J'ai Envie De Toi]
Generated description
"J'ai Envie De Toi" is a popular French song best known in its Eurodance version by the group Gala, often associated with 1990s dance music culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J'ai Envie De Toi Target entity description: "J'ai Envie De Toi" is a popular French song best known in its Eurodance version by the group Gala, often associated with 1990s dance music culture.
-
A.
J’ai pas envie
"J’ai pas envie" is a song by British singer-songwriter Mika featured on his album "No Place in Heaven."
-
B.
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.
-
C.
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.
-
D.
Voulez-Vous
"Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d464762c8190a734ffdd83633f70 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d53422408190ba91624194333c13 |
completed | May 10, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d5adee908190a13bfc765e7c8f06 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.