Triple
T20015799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love (Michael Bublé album) |
E494713
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | La vie en rose |
—
|
NE NERFINISHED |
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: La vie en rose | Statement: [Love (Michael Bublé album), hasPart, La vie en rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La vie en rose Context triple: [Love (Michael Bublé album), hasPart, La vie en rose]
-
A.
La Vie en rose
chosen
"La Vie en rose" is a classic French song, originally made famous by Édith Piaf, that became one of Louis Armstrong’s signature romantic jazz standards through his celebrated interpretation.
-
B.
La Vie en Rose
La Vie en Rose is a 2007 French biographical musical film depicting the life and career of iconic singer Édith Piaf.
-
C.
Chanson d’Amour
"Chanson d’Amour" is a popular jazz-influenced pop song best known for its hit 1970s recording by the vocal group The Manhattan Transfer.
-
D.
"Laissez-moi danser"
"Laissez-moi danser" is a popular 1979 disco song by French-Italian singer Dalida, known for its upbeat melody and enduring status as one of her signature hits.
-
E.
Paris, je t’aime
Paris, je t’aime is a 2006 anthology film composed of short segments by various international directors, each exploring different stories of love set in Paris’s distinct neighborhoods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623bba1881908440c92f08729ec1 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.