Triple
T7599978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leni |
E179957
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Leni |
E179957
|
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: Leni | Statement: [Leni, hasSpellingVariant, Leni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leni Context triple: [Leni, hasSpellingVariant, Leni]
-
A.
Leni
chosen
Leni is a diminutive form of the given name Leonore, commonly used as a short or affectionate version of the name.
-
B.
Malena
Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
-
C.
Reni
Reni is the influential drummer of the English rock band The Stone Roses, renowned for his inventive, groove-driven playing and distinctive backing vocals.
-
D.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
E.
Rawitsch
Rawitsch is a historical town that was once part of the Prussian Province of Posen in what is now western Poland.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d7cb288190b40ff5c9a09297d9 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861ad08bc8190b3fc22109579a47d |
completed | March 28, 2026, 11:18 p.m. |
Created at: March 27, 2026, 3:53 p.m.