Triple
T4502182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemming |
E101246
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Flemmingk |
E101246
|
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: Flemmingk | Statement: [Flemming, hasVariant, Flemmingk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flemmingk Context triple: [Flemming, hasVariant, Flemmingk]
-
A.
Flemming
chosen
Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
-
B.
Heiskell
Heiskell is a surname most notably associated with Andrew Heiskell, an influential American magazine publisher and philanthropist.
-
C.
Bjerknes
Bjerknes is a Norwegian surname most notably associated with the influential family of physicists and meteorologists who helped found modern weather forecasting and climate science.
-
D.
Heiskanen
Heiskanen is a Finnish surname most notably associated with professional ice hockey defenseman Miro Heiskanen of the NHL's Dallas Stars.
-
E.
Norrström
Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f90d6a4819085d911de5443f111 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.