Triple
T1822174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula |
E40562
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Paule |
E40562
|
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: Paule | Statement: [Paula, hasVariant, Paule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paule Context triple: [Paula, hasVariant, Paule]
-
A.
Paula
chosen
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
-
B.
Pauley
Pauley is a diminutive given name or nickname derived from the name Paul.
-
C.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
D.
Lucile
Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
-
E.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662b910c8190b1746730ee09015a |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb9f3354819097ce858a8706c324 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:32 p.m.