Triple
T663176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niçard Occitan |
E12800
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Nissart
Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
|
E82995
|
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: Nissart | Statement: [Niçard Occitan, hasAlternativeName, Nissart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissart Context triple: [Niçard Occitan, hasAlternativeName, Nissart]
-
A.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
B.
Noel Blanc
Noel Blanc is an American voice actor and producer best known for continuing the legacy of his father, legendary cartoon voice actor Mel Blanc, by voicing many of the classic Looney Tunes characters.
-
C.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
D.
Alizée
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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: Nissart Triple: [Niçard Occitan, hasAlternativeName, Nissart]
Generated description
Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nissart Target entity description: Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
-
A.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
B.
Noel Blanc
Noel Blanc is an American voice actor and producer best known for continuing the legacy of his father, legendary cartoon voice actor Mel Blanc, by voicing many of the classic Looney Tunes characters.
-
C.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
D.
Alizée
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c398cc748190ab720263096064ef |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c4523e8081909464ca227b880e77 |
completed | March 2, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cdae65808190b7191f63d5f16d9f |
completed | March 2, 2026, 5:49 p.m. |
Created at: March 1, 2026, 7:36 p.m.