Triple
T11036009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take it now or leave it |
E260885
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Voulez-Vous |
E48825
|
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: Voulez-Vous | Statement: [Take it now or leave it, partOf, Voulez-Vous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voulez-Vous Context triple: [Take it now or leave it, partOf, Voulez-Vous]
-
A.
Voulez-Vous
chosen
"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!.
-
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.
J’Veux d’la Musique
J’Veux d’la Musique is a soulful, French-language neo-soul/R&B song by the Franco-Cameroonian duo Les Nubians, showcasing their smooth harmonies and Afro-diasporic musical influences.
-
D.
Autre Ne Veut
Autre Ne Veut is the stage name of Arthur Ashin, an American musician known for his experimental, emotionally intense blend of R&B, pop, and electronic music.
-
E.
La Vie
La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.