Triple
T19096201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabrowski |
E467411
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Dabrowsky |
—
|
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: Dabrowsky | Statement: [Dabrowski, hasVariantSpelling, Dabrowsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dabrowsky Context triple: [Dabrowski, hasVariantSpelling, Dabrowsky]
-
A.
Dabrowski
chosen
Dabrowski is a Polish surname, often spelled Dombrowski in variant forms, associated with numerous individuals of Polish origin or descent.
-
B.
Björkman
Björkman is a Swedish surname most notably associated with figures such as filmmaker and writer Stig Björkman.
-
C.
Newcombe
Newcombe is a surname of English origin borne by various notable individuals in fields such as sports, science, and public life.
-
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.
Ebden
Ebden is a rural locality and suburb within the City of Wodonga in northeastern Victoria, Australia, known for its proximity to Lake Hume and agricultural surroundings.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.