Triple
T489728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold |
E9958
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Harald |
E25389
|
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: Harald | Statement: [Harold, hasVariant, Harald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harald Context triple: [Harold, hasVariant, Harald]
-
A.
Haakon VII of Norway
Haakon VII of Norway was the first king of an independent modern Norway and a widely respected constitutional monarch who led the nation through World War II.
-
B.
Edvard
Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
-
C.
Harald V of Norway
chosen
Harald V of Norway is the constitutional monarch and head of state of Norway, known for his long reign and dedication to public service and national unity.
-
D.
Rollo
Rollo was a Viking leader who became the first ruler of Normandy, laying the foundations for the Norman people and their later influence in European history.
-
E.
Rollo
Rollo is the central protagonist of the 1993 film "Stalingrad," a German soldier whose harrowing experiences on the Eastern Front depict the brutality and futility of war.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e0a9648190b6a3b2da3a3b51e6 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474738bb881908e5d0ff6a17301e8 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.