Triple
T18140320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvan Attal |
E434242
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bon Voyage
Bon Voyage is a 2003 French romantic thriller film, directed by Jean-Paul Rappeneau, that intertwines political intrigue and personal drama on the eve of World War II.
|
E1307536
|
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: Bon Voyage | Statement: [Yvan Attal, notableWork, Bon Voyage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bon Voyage Context triple: [Yvan Attal, notableWork, Bon Voyage]
-
A.
Bon Voyage
"Bon Voyage" is a song by the New Zealand rock band Oceanic.
-
B.
Bon Voyage
Bon Voyage is a retail store, likely themed around travel, that offers related goods and accessories to customers.
-
C.
Le Voyage
"Le Voyage" is the concluding, philosophically charged poem in Charles Baudelaire's collection *Les Fleurs du mal*, exploring themes of escape, disillusionment, and the search for the unknown.
-
D.
Le Long Voyage
Le Long Voyage is a French science fiction work by Gérard Klein that explores themes of space travel and human destiny.
-
E.
Voyage
"Voyage" is a notable work by Sterling Relyea Walter (better known as actor and writer Sterling Hayden), reflecting his adventurous life and seafaring experiences.
- 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: Bon Voyage Triple: [Yvan Attal, notableWork, Bon Voyage]
Generated description
Bon Voyage is a 2003 French romantic thriller film, directed by Jean-Paul Rappeneau, that intertwines political intrigue and personal drama on the eve of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bon Voyage Target entity description: Bon Voyage is a 2003 French romantic thriller film, directed by Jean-Paul Rappeneau, that intertwines political intrigue and personal drama on the eve of World War II.
-
A.
Bon Voyage
"Bon Voyage" is a song by the New Zealand rock band Oceanic.
-
B.
Bon Voyage
Bon Voyage is a retail store, likely themed around travel, that offers related goods and accessories to customers.
-
C.
Le Voyage
"Le Voyage" is the concluding, philosophically charged poem in Charles Baudelaire's collection *Les Fleurs du mal*, exploring themes of escape, disillusionment, and the search for the unknown.
-
D.
Le Long Voyage
Le Long Voyage is a French science fiction work by Gérard Klein that explores themes of space travel and human destiny.
-
E.
Voyage
"Voyage" is a notable work by Sterling Relyea Walter (better known as actor and writer Sterling Hayden), reflecting his adventurous life and seafaring experiences.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03855061b88190a9fcda2743dec41a |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a03861898948190b3ada048d9ea274c |
completed | May 12, 2026, 7:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0386b90e308190807af4d407840985 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.