Triple
T11489393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liliana |
E272364
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lilliana |
E272364
|
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: Lilliana | Statement: [Liliana, hasVariant, Lilliana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilliana Context triple: [Liliana, hasVariant, Lilliana]
-
A.
Liliana
chosen
Liliana is a feminine given name, often considered a more elaborate or romantic variant of Lily, used in various cultures around the world.
-
B.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
C.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
-
D.
Talia
Talia is a feminine given name used in various cultures, often associated with meanings like “dew from heaven” or “to bloom.”
-
E.
Éliante
Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
- 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_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624b12c04819085cc5f7dd64283ca |
completed | April 20, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:36 p.m.