Triple
T20989286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardicanute |
E516975
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hardicanute |
—
|
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: Hardicanute | Statement: [Hardicanute, name, Hardicanute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardicanute Context triple: [Hardicanute, name, Hardicanute]
-
A.
Hardicanute
chosen
Hardicanute was an 11th-century king of Denmark and England, known as the son of Cnut the Great and the last Danish ruler of England before the Norman Conquest.
-
B.
Hardai
Hardai was the ancient Egyptian city later known as Cynopolis, renowned as a cult center dedicated to the worship of the jackal or dog god Anubis.
-
C.
Hardrict
Hardrict is the surname of American actor Cory Hardrict, known for his roles in film and television dramas.
-
D.
The Hard
The Hard is a waterfront area in Portsmouth, England, known as a major transport hub and gateway to the city’s historic dockyard and ferry services.
-
E.
Mühsam
Mühsam is the surname of Erich Mühsam, a prominent German-Jewish anarchist writer, poet, and political activist of the early 20th century.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5f49c8190a5c031eceba9ebf7 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:49 p.m.