Triple
T8235870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristian Bäckström |
E192403
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Kristian |
E203472
|
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: Kristian | Statement: [Kristian Bäckström, hasGivenName, Kristian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristian Context triple: [Kristian Bäckström, hasGivenName, Kristian]
-
A.
Kristian
chosen
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
B.
Kristoffer
Kristoffer is the given name of Kris Kristofferson, the American singer-songwriter, actor, and country music icon.
-
C.
Kristian Welhaven
Kristian Welhaven was a Norwegian police chief and public official, known for his prominent role in Oslo’s law enforcement in the early 20th century.
-
D.
Kristopher
Kristopher is the full given name of Kris Humphries, an American former professional basketball player known for his NBA career and brief marriage to Kim Kardashian.
-
E.
Johan
Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782a5e18819096235679f5a644a8 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34fb069c8190965d69fae908482e |
completed | April 1, 2026, 3:08 p.m. |
Created at: March 30, 2026, 5:47 p.m.