Triple
T21462241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eartha Kitt |
E529499
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
C'est si bon
"C'est si bon" is a popular French song, widely recognized through Eartha Kitt’s sultry 1953 recording that helped make it an international standard.
|
E1486835
|
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: C'est si bon | Statement: [Eartha Kitt, notableWork, C'est si bon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C'est si bon Context triple: [Eartha Kitt, notableWork, C'est si bon]
-
A.
La Belle Vie
La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
-
B.
Petit à petit
Petit à petit is a 1970 ethnographic comedy film by Jean Rouch that satirically explores cultural differences through the story of Nigerien businessmen investigating life in Paris.
-
C.
La Vie Est Belle
La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
-
D.
La Bauche
La Bauche is a small commune in the Savoie department of southeastern France, situated in the Alpine region of Auvergne-Rhône-Alpes.
-
E.
C'est Magnifique
"C'est Magnifique" is a popular song by Cole Porter, introduced in the 1953 musical *Can-Can* and later recorded by numerous artists.
- 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: C'est si bon Triple: [Eartha Kitt, notableWork, C'est si bon]
Generated description
"C'est si bon" is a popular French song, widely recognized through Eartha Kitt’s sultry 1953 recording that helped make it an international standard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: C'est si bon Target entity description: "C'est si bon" is a popular French song, widely recognized through Eartha Kitt’s sultry 1953 recording that helped make it an international standard.
-
A.
La Belle Vie
La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
-
B.
Petit à petit
Petit à petit is a 1970 ethnographic comedy film by Jean Rouch that satirically explores cultural differences through the story of Nigerien businessmen investigating life in Paris.
-
C.
La Vie Est Belle
La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
-
D.
La Bauche
La Bauche is a small commune in the Savoie department of southeastern France, situated in the Alpine region of Auvergne-Rhône-Alpes.
-
E.
C'est Magnifique
"C'est Magnifique" is a popular song by Cole Porter, introduced in the 1953 musical *Can-Can* and later recorded by numerous artists.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ef0c0881908554977df00604a6 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cff0982c8190a18afe116e2a0391 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d1c0ba9081909da8754af7e2e33d |
completed | May 17, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d271dc948190bde142334bb360ee |
completed | May 17, 2026, 2:36 p.m. |
Created at: April 16, 2026, 6:09 p.m.