Triple
T8913596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemispingus |
E212242
|
entity |
| Predicate | namedBy |
P63
|
FINISHED |
| Object | Jean Cabanis |
E649590
|
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: Jean Cabanis | Statement: [Hemispingus, namedBy, Jean Cabanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Cabanis Context triple: [Hemispingus, namedBy, Jean Cabanis]
-
A.
Jean Cabanis
chosen
Jean Cabanis was a 19th-century German ornithologist known for his influential work in bird classification and taxonomy.
-
B.
Xavier Bichat
Xavier Bichat was a pioneering French anatomist and physiologist whose work on tissue-based anatomy helped lay the foundations of modern histology and pathological anatomy.
-
C.
Jean-Jacques Barre
Jean-Jacques Barre was a 19th-century French engraver and medalist best known for his influential work designing official state emblems and currency.
-
D.
Guyton de Morveau
Guyton de Morveau was an 18th-century French chemist and collaborator of Lavoisier who helped reform chemical nomenclature and advance modern chemistry.
-
E.
Jean-Jacques Feuchère
Jean-Jacques Feuchère was a 19th-century French sculptor known for his Romantic and often dramatic bronze works, including allegorical and religious subjects.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65276b788190ab76372d0d871fef |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4102e881908441669e14e5c491 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:56 p.m.