Triple
T33108322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royaume d’Yvetot |
E847253
|
entity |
| Predicate | mentionLittéraire |
P27711
|
FINISHED |
| Object |
poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger
Le poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger est une chanson satirique du XIXᵉ siècle qui tourne en dérision la monarchie en racontant l’histoire d’un petit roi bon vivant et pacifique régnant sur le minuscule royaume d’Yvetot.
|
E2036645
|
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: poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger | Statement: [Royaume d’Yvetot, mentionLittéraire, poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger]
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: poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger Triple: [Royaume d’Yvetot, mentionLittéraire, poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger]
Generated description
Le poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger est une chanson satirique du XIXᵉ siècle qui tourne en dérision la monarchie en racontant l’histoire d’un petit roi bon vivant et pacifique régnant sur le minuscule royaume d’Yvetot.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionLittéraire Context triple: [Royaume d’Yvetot, mentionLittéraire, poème « Le Roi d’Yvetot » de Pierre-Jean de Béranger]
-
A.
literaryMuseOf
Indicates a relationship in which one entity serves as the creative inspiration or muse for another entity’s literary work.
-
B.
inLiterature
chosen
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
C.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
D.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
E.
literaryUniverse
Indicates that two or more works of literature exist within the same fictional universe or continuity, sharing settings, characters, or canonical events.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6e86f7c8190836278fd08e5cfed |
completed | May 3, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34f034d3c48190a38225696325dbac |
completed | June 19, 2026, 7:31 a.m. |
| NEDg | Description generation | batch_6a34f51a14ec8190a60c715838742ea9 |
completed | June 19, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34f59441c08190a306eb2fcfecfe74 |
completed | June 19, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.