Triple
T8317740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Norman |
E194747
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Old Picard
Old Picard is a historical Romance language variety spoken in the Picardy region of northern France, closely related to Old Norman and other early Oïl languages.
|
E725724
|
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: Old Picard | Statement: [Old Norman, closelyRelatedTo, Old Picard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Picard Context triple: [Old Norman, closelyRelatedTo, Old Picard]
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
C.
Henri Ploquin
Henri Ploquin was a French architect best known for designing Marseille’s iconic Stade Vélodrome stadium.
-
D.
Monsieur Purgon
Monsieur Purgon is the authoritarian, profit-driven physician in Molière’s comedy *Le Malade imaginaire*, embodying the satire of dogmatic and self-interested medical practice.
-
E.
Alain
Alain is a masculine given name of French origin, derived from the Breton name Alan and widely used in French-speaking countries.
- 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: Old Picard Triple: [Old Norman, closelyRelatedTo, Old Picard]
Generated description
Old Picard is a historical Romance language variety spoken in the Picardy region of northern France, closely related to Old Norman and other early Oïl languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Picard Target entity description: Old Picard is a historical Romance language variety spoken in the Picardy region of northern France, closely related to Old Norman and other early Oïl languages.
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
C.
Henri Ploquin
Henri Ploquin was a French architect best known for designing Marseille’s iconic Stade Vélodrome stadium.
-
D.
Monsieur Purgon
Monsieur Purgon is the authoritarian, profit-driven physician in Molière’s comedy *Le Malade imaginaire*, embodying the satire of dogmatic and self-interested medical practice.
-
E.
Alain
Alain is a masculine given name of French origin, derived from the Breton name Alan and widely used in French-speaking countries.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd958cf0808190af59e36c35b91e58 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdab5f30b0819080136084d81774a9 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2d365e48190a766ca959ce56b19 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:55 p.m.