Triple
T19667116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type O Negative |
E472226
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Danzig |
—
|
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: Danzig | Statement: [Type O Negative, associatedAct, Danzig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danzig Context triple: [Type O Negative, associatedAct, Danzig]
-
A.
Danzig
chosen
Danzig is an American heavy metal band formed by singer Glenn Danzig, known for its dark, blues-influenced sound and songs like "Mother."
-
B.
Danzig
Danzig was a highly influential American Thoroughbred racehorse and leading sire known for producing numerous top-class runners and shaping modern bloodlines.
-
C.
Danzig-West Prussia
Danzig-West Prussia was a Nazi German administrative region established during World War II in formerly Polish territories around the city of Danzig (Gdańsk) and parts of West Prussia.
-
D.
Swarzewo
Swarzewo is a village in northern Poland, located near the Baltic Sea coast in the Pomeranian Voivodeship.
-
E.
Gdańsk
Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.