Triple
T1822185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula |
E40562
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Paulinha |
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: Paulinha | Statement: [Paula, hasDiminutive, Paulinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paulinha Context triple: [Paula, hasDiminutive, Paulinha]
-
A.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
B.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
-
C.
Paula
chosen
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
-
D.
Fernanda Gomes
Fernanda Gomes is a Brazilian contemporary artist known for her minimalist, site-specific installations that often use everyday materials and subtle spatial interventions.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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_69adbf6722f081908c5368a09d1507ac |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.