Triple
T19328228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha |
E483415
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Berty |
—
|
NE NERFINISHED |
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: Berty | Statement: [Bertha, hasShortForm, Berty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berty Context triple: [Bertha, hasShortForm, Berty]
-
A.
Berty
chosen
Berty is a given name, typically used as a diminutive or variant of names like Bertram, Albert, or Roberta.
-
B.
Berte
Berte is a minor character in Henrik Ibsen’s play "Hedda Gabler," serving as the Tesmans’ maid and highlighting the household’s social dynamics.
-
C.
Brentley
Brentley is a modern English given name, typically used for boys, that likely originated as a variant of the name Brent.
-
D.
Berrie
Berrie is a diminutive given name or nickname derived from the Dutch name Berend.
-
E.
Bert
Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163f32f48190be17cccf4e537372 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.