Triple
T2216790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABBA |
E48050
|
entity |
| Predicate | releasedAlbum |
P25507
|
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: [ABBA, releasedAlbum, Voulez-Vous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voulez-Vous Context triple: [ABBA, releasedAlbum, 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.
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.
-
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.
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.
-
E.
Vivre sa vie
Vivre sa vie is a 1962 French New Wave film by Jean-Luc Godard that follows a young woman’s descent into prostitution through a series of stylized, documentary-like vignettes.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65594c948190a43bdab03e61c130 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.