Triple
T4335628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aletta Jacobs |
E97455
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aletta |
E360042
|
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: Aletta | Statement: [Aletta Jacobs, givenName, Aletta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aletta Context triple: [Aletta Jacobs, givenName, Aletta]
-
A.
Wilhelmina
Wilhelmina was a Prussian princess of the House of Hohenzollern who became Princess of Orange through marriage and played a significant political role in the Dutch Republic in the late 18th century.
-
B.
Madalena
Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
-
C.
Madalena
Madalena is a coastal town on the Azorean island of Pico in Portugal, known as a gateway to Mount Pico and for its wine culture and maritime heritage.
-
D.
Hendrika
chosen
Hendrika is a feminine given name of Dutch origin, commonly used in the Netherlands and related to the name Hendrickje.
-
E.
Emily Damstra
Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.