Triple
T12277419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Dinklage |
E292625
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dinklage |
E604594
|
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: Dinklage | Statement: [Peter Dinklage, familyName, Dinklage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinklage Context triple: [Peter Dinklage, familyName, Dinklage]
-
A.
Dinklage
chosen
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
B.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
C.
Erkelenz
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
-
D.
Küdinghoven
Küdinghoven is a district of the Beuel borough in Bonn, Germany, known for its residential character and proximity to the Rhine.
-
E.
Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63464486c819085452675a43785b1 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.