Triple
T20978852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Bijoux |
E516696
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Les Bijoux |
—
|
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: Les Bijoux | Statement: [Les Bijoux, originalTitle, Les Bijoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Bijoux Context triple: [Les Bijoux, originalTitle, Les Bijoux]
-
A.
Les Bijoux
chosen
"Les Bijoux" is a sensual and provocative poem by Charles Baudelaire, included in his influential collection *Les Fleurs du mal*.
-
B.
Bijou Blanche
Bijou Blanche is the charismatic nightclub singer and central female protagonist portrayed by Marlene Dietrich in the 1940 romantic drama film "Seven Sinners."
-
C.
Le Diamant
Le Diamant is a coastal commune in Martinique, France, known for its scenic beaches and views of the iconic Diamond Rock offshore.
-
D.
Le Diamant
Le Diamant is an animated film by French director and animator Paul Grimault, known for his poetic visual style and influence on European animation.
-
E.
The Jewel
The Jewel is a residential and commercial area in the eastern part of Edinburgh, Scotland.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdc6ca08190919717f4328c7a0d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:47 p.m.