Triple
T3545080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet |
E74976
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jannet |
E74976
|
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: Jannet | Statement: [Janet, hasVariant, Jannet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jannet Context triple: [Janet, hasVariant, Jannet]
-
A.
Janet
chosen
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
B.
Jeanette
Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
-
C.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
D.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
E.
Jeanie
Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf77d938819095c72a88b5af644a |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44ef0a4588190b82a395760c8072a |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 3:20 p.m.