Triple
T18251333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice |
E437097
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alyce |
—
|
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: Alyce | Statement: [Alice, hasVariant, Alyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alyce Context triple: [Alice, hasVariant, Alyce]
-
A.
Alyce
chosen
Alyce is a feminine given name, often considered a variant of Alice, used in various English-speaking cultures.
-
B.
Alyssa
Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
-
C.
Allaine
The Allaine is a river in the Jura region of Switzerland and France that flows through towns such as Porrentruy before joining the Doubs.
-
D.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
E.
Alison
Alison is a central character in Alan Garner's supernatural novel "The Owl Service," whose experiences drive the story's exploration of Welsh myth and identity.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8124648190ae7fc9f1fc5cf9bd |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.