Triple
T15010539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etty |
E377822
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Etti |
E377821
|
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: Etti | Statement: [Etty, spellingVariantOf, Etti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etti Context triple: [Etty, spellingVariantOf, Etti]
-
A.
Etta
chosen
Etta is a feminine given name, commonly used as a diminutive or short form of names like Henrietta.
-
B.
Tetty
Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
-
C.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
D.
Adella
Adella is one of King Triton’s mermaid daughters and a supporting character in Disney’s The Little Mermaid franchise.
-
E.
Eteri
Eteri is a poetic work by the Georgian writer Vazha-Pshavela, known for its exploration of folk themes and national identity.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a7dcac8190b0153d7cdac03afa |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.