Triple
T11498432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janice Soprano |
E272603
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Janice |
E72638
|
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: Janice | Statement: [Janice Soprano, givenName, Janice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janice Context triple: [Janice Soprano, givenName, Janice]
-
A.
Janice
chosen
Janice is a feminine given name commonly used in English-speaking countries.
-
B.
Janet
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
C.
Jeanie
Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
-
D.
Janeane
Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
-
E.
Janette
Janette is a feminine given name of English origin, often considered a diminutive or variant of Janet or Jane.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.