Triple
T14179468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Bovary |
E351414
|
entity |
| Predicate | firstPublicationVenue |
P309
|
FINISHED |
| Object | Revue de Paris |
E310126
|
NE FINISHED |
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: Revue de Paris | Statement: [Madame Bovary, firstPublicationVenue, Revue de Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Revue de Paris Context triple: [Madame Bovary, firstPublicationVenue, Revue de Paris]
-
A.
Revue de Paris
chosen
Revue de Paris was a prominent 19th-century French literary periodical that published major works by leading authors of the time.
-
B.
L’Écho de Paris
L’Écho de Paris was a prominent French daily newspaper based in Paris, known for its political influence and literary contributions in the late 19th and early 20th centuries.
-
C.
France-Soir
France-Soir is a French daily newspaper that became one of the country’s most widely read popular papers in the mid-20th century.
-
D.
Le Charivari
Le Charivari was a 19th-century French satirical newspaper known for its political cartoons and social commentary.
-
E.
Gringoire
Gringoire is a central character in the 1998 musical "Notre-Dame de Paris," portrayed as a poet and narrator who guides the audience through the tragic story.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80f03a48190a5374fb6374255a8 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.