Triple
T12052455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dąbrowski |
E286950
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dabrowski |
E467411
|
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: Dabrowski | Statement: [Dąbrowski, hasVariant, Dabrowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dabrowski Context triple: [Dąbrowski, hasVariant, Dabrowski]
-
A.
Dabrowski
chosen
Dabrowski is a Polish surname, often spelled Dombrowski in variant forms, associated with numerous individuals of Polish origin or descent.
-
B.
Domracheva
Domracheva is the surname of Darya Domracheva, the Belarusian biathlete and multiple Olympic champion.
-
C.
Kai Schreiber
Kai Schreiber is one of the two sons of actors Naomi Watts and Liev Schreiber.
-
D.
Larcher
Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
-
E.
Mayar
Mayar is a mountain in the Grampian range of Angus, Scotland, popular with hikers and often climbed together with its neighboring peak Driesh.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90423b22081908fba82fbc6b40eb5 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49ddde6548190adae2a889ec5c72b |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.