Triple
T33192436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Automne à Pékin |
E849644
|
entity |
| Predicate | partOfAuthorRepertoire |
P7332
|
FINISHED |
| Object |
Boris Vian novels
Boris Vian novels are a body of imaginative, often surreal and jazz-infused French fiction known for their playful language, dark humor, and sharp social critique.
|
E2039224
|
NE FINISHED |
How this triple was built (3 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: Boris Vian novels | Statement: [L’Automne à Pékin, partOfAuthorRepertoire, Boris Vian novels]
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: Boris Vian novels Triple: [L’Automne à Pékin, partOfAuthorRepertoire, Boris Vian novels]
Generated description
Boris Vian novels are a body of imaginative, often surreal and jazz-infused French fiction known for their playful language, dark humor, and sharp social critique.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAuthorRepertoire Context triple: [L’Automne à Pékin, partOfAuthorRepertoire, Boris Vian novels]
-
A.
partOfComposerOeuvre
Indicates that a musical work belongs to and is included within the overall body of compositions created by a particular composer.
-
B.
hasPartInDiscographyOf
Indicates that one entity constitutes a component or item within the discography (recorded works catalog) of another entity.
-
C.
partOfAuthorBibliography
chosen
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
D.
partOfArtistOeuvre
Indicates that something (such as a work or piece) belongs to and is included within an artist’s overall body of work.
-
E.
hasPartInWrittenWork
Indicates that an entity participates in or contributes to the creation of a written work.
- F. None of above.
Provenance (6 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525d702f08190a03ce5e00d842c9a |
completed | June 19, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_6a35267306d08190be7f605084fdf4c8 |
completed | June 19, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3526dd7ef881908473f30391e82cfa |
completed | June 19, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 1, 2026, 1:29 a.m.