Triple
T7638436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Clouet |
E172938
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Janet (archaic form used in France) |
E191141
|
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: Janet (archaic form used in France) | Statement: [Jean Clouet, alternativeName, Janet (archaic form used in France)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet (archaic form used in France) Context triple: [Jean Clouet, alternativeName, Janet (archaic form used in France)]
-
A.
Janet
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
B.
Janice
Janice is a feminine given name commonly used in English-speaking countries.
-
C.
Jeanne-Françoise
Jeanne-Françoise is the given name of Juliette Récamier, the famed French socialite and salon hostess of the early 19th century.
-
D.
Jeanne
chosen
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
E.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facb14188190952de18fa2699784 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c7b2bc8190948bc2904b278062 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.