Triple
T3545081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet |
E74976
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jannette |
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: Jannette | Statement: [Janet, hasVariant, Jannette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jannette Context triple: [Janet, hasVariant, Jannette]
-
A.
Jeanette
Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
-
B.
Jeanie
Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
-
C.
Janet
chosen
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
D.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
E.
Jennie Gerhardt
Jennie Gerhardt is a naturalist novel by American author Theodore Dreiser that portrays the struggles of a poor young woman entangled in class, morality, and social injustice in late 19th-century America.
- 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_69b48823ca248190a34d2d0eb3a496a7 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.